The iNaturalist Species Classification and Detection Dataset

Van Horn, Grant, Mac Aodha, Oisin, Song, Yang, Cui, Yin, Sun, Chen, Shepard, Alex, Adam, Hartwig, Perona, Pietro +1 more·2018·2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
DOI 10.1109/cvpr.2018.00914

Cited by (1,003)

Items 101–200 of 1,003

  1. Foundation Models for Remote Sensing and Earth Observation: A survey
    Aoran Xiao, Weihao Xuan, Junjue Wang, Jiaxing Huang, Dacheng Tao, Shijian Lu, Naoto Yokoya · 2025 · IEEE Geoscience and Remote Sensing Magazine
  2. Nested Collaborative Learning for Long-Tailed Visual Recognition
    Jun Li, Zichang Tan, Jun Wan, Zhen Lei, Guodong Guo · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  3. The potential for AI to revolutionize conservation: a horizon scan
    Sam A. Reynolds, Sara Beery, Neil D. Burgess, Mark A. Burgman, Stuart H. M. Butchart, Steven J. Cooke, David A. Coomes, Finn Danielsen, Enrico Di Minin, América Paz Durán et al. · 2024 · Trends in Ecology & Evolution
  4. Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
    Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie, Bharath Hariharan, Hartwig Adam, Serge Belongie · 2020 · Lecture notes in computer science
  5. Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
    Kim, Jaehyung, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin · 2020 · arXiv (Cornell University)
  6. Class-Imbalanced Deep Learning via a Class-Balanced Ensemble
    Zhi Chen, Jiang Duan, Li Kang, Guoping Qiu · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  7. Innovations in Camera Trapping Technology and Approaches: The Integration of Citizen Science and Artificial Intelligence
    Siân E. Green, Jonathan P. Rees, Philip A. Stephens, Russell A. Hill, Anthony J. Giordano · 2020 · Animals
  8. RSG: A Simple but Effective Module for Learning Imbalanced Datasets
    Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  9. Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
    Chaoqun Du, Yulin Wang, Shiji Song, Gao Ming Huang · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  10. Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
    Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie · 2018 · arXiv (Cornell University)
  11. Debiased Learning from Naturally Imbalanced Pseudo-Labels
    Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  12. Opportunities and Risks for Citizen Science in the Age of Artificial Intelligence
    Luigi Ceccaroni, James Bibby, Erin Roger, Paul K. J. Flemons, Katina Michael, Laura L. Fagan, Jessica L. Oliver · 2019 · Citizen Science Theory and Practice
  13. WaterCycleDiffusion: Visual–textual fusion empowered underwater image enhancement
    Hao Wang, Weibo Zhang, Yinghao Xu, Huanyu Li, Peng Ren · 2025 · Information Fusion
  14. When Does Contrastive Visual Representation Learning Work?
    Cole, Elijah, Yang, Xuan, Wilber, Kimberly, Aodha, Oisin Mac, Belongie, Serge · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  15. BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning
    Zhi Hou, Baosheng Yu, Dacheng Tao · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  16. ClusterFit: Improving Generalization of Visual Representations
    Xueting Yan, Ishan Misra, Abhinav Kumar Gupta, Deepti Ghadiyaram, Dhruv Kumar Mahajan · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  17. Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones
    Mert Bülent Sarıyıldız, Karteek Alahari, Diane Larlus, Yannis Kalantidis · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  18. CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
    Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  19. Transfer learning in computer vision tasks: Remember where you come from
    Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Hang Zhang, Serge Belongie, Yi-Hsuan Tsai, Ming–Hsuan Yang · 2019 · Image and Vision Computing
  20. Self Supervision to Distillation for Long-Tailed Visual Recognition
    Tianhao Li, Limin Wang, Gangshan Wu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  21. Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
    Mengke Li, Yiu‐ming Cheung, Yang Lu · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  22. Class-Specific Semantic Reconstruction for Open Set Recognition
    Hongzhi Huang, Yu Wang, Qinghua Hu, Ming‐Ming Cheng · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  23. Task Discrepancy Maximization for Fine-grained Few-Shot Classification
    SuBeen Lee, WonJun Moon, Jae‐Pil Heo · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  24. Species Distribution Modeling for Machine Learning Practitioners: A Review
    Beery, Sara, Cole, Elijah, Parker, Joseph, Perona, Pietro, Winner, Kevin · 2021 · ACM SIGCAS Conference on Computing and Sustainable Societies
  25. iNaturalist accelerates biodiversity research
    Brittany M. Mason, Thomas Mesaglio, Jackson Barratt Heitmann, Mark Chandler, Shawan Chowdhury, Simon B. Z. Gorta, Florencia Grattarola, Quentin Groom, Colleen B. Hitchcock, Levi P. Hoskins et al. · 2025 · BioScience
  26. Explanation-Guided Training for Cross-Domain Few-Shot Classification
    Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai Man Cheung, Alexander Binder · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
  27. Revisiting Weakly Supervised Pre-Training of Visual Perception Models
    Singh, Mannat, Gustafson, Laura, Adcock, Aaron, De Freitas Reis, Vinicius, Gedik, Bugra, Kosaraju, Raj Prateek, Mahajan, Dhruv, Girshick, Ross, Dollar, Piotr, Van Der Maaten, Laurens · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  28. Interpretable Image Classification with Differentiable Prototypes Assignment
    Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński · 2022 · Lecture notes in computer science
  29. StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
    Yuqian Fu, Yu Xie, Yanwei Fu, Yu–Gang Jiang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  30. Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
    Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  31. GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
    Xixi Liu, Yaroslava Lochman, Christopher Zach · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  32. Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-balanced Samplings
    Hao Guo, Song Wang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  33. DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
    Youngtaek Oh, Dong-Jin Kim, In So Kweon · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  34. Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data
    Terry, J. Christopher D., Roy, Helen E., August, Tom A. · 2020 · Methods in Ecology and Evolution
  35. Balanced knowledge distillation for long-tailed learning
    Shaoyu Zhang, Chen Chen, Xiyuan Hu, Silong Peng · 2023 · Neurocomputing
  36. Adversarial Robustness under Long-Tailed Distribution
    Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  37. Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
    Jiasen Lu, Christopher Clark, Sang-Ho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  38. A vision transformer for fine-grained classification by reducing noise and enhancing discriminative information
    Zi-Chao Zhang, Zhen-Duo Chen, Yongxin Wang, Xin Luo, Xin-Shun Xu · 2023 · Pattern Recognition
  39. A free lunch from ViT: adaptive attention multi-scale fusion Transformer for fine-grained visual recognition
    Yuan Zhang, Jian Cao, Ling Zhang, Xiangcheng Liu, Zhiyi Wang, Feng Ling, Weiqian Chen · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
  40. MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
    Jihao Liu, Xin Huang, Jinliang Zheng, Yu Liu, Hongsheng Li · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  41. Retrieval Augmented Classification for Long-Tail Visual Recognition
    Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Duc-Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  42. Bioinformatics in bioscience and bioengineering: Recent advances, applications, and perspectives
    Kazuma Uesaka, Hiroya Oka, Ryuji Kato, Kei Kanie, Takaaki Kojima, Hiroshi Tsugawa, Yosuke Toda, Takaaki Horinouchi · 2022 · Journal of Bioscience and Bioengineering
  43. Image-based species identification of wild bees using convolutional neural networks
    Keanu Buschbacher, D. Ahrens, M. Espeland, V. Steinhage · 2020 · Ecological Informatics
  44. Deep learning identification for citizen science surveillance of tiger mosquitoes
    Bálint Pataki, Joan Garriga, Roger Eritja, John R.B. Palmer, Frederic Bartumeus, István Csabai · 2021 · Scientific Reports
  45. Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
    Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  46. Passive citizen science: The role of social media in wildlife observations
    Thomas Edwards, Christopher B. Jones, Sarah E. Perkins, Padraig Corcoran · 2021 · PLoS ONE
  47. Improving Contrastive Learning by Visualizing Feature Transformation
    Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  48. Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition
    Yan Li Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  49. OmniMAE: Single Model Masked Pretraining on Images and Videos
    Rohit Girdhar, Alaaeldin El-Nouby, Mannat Singh, Kalyan Vasudev Alwala, Armand Joulin, Ishan Misra · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  50. OmniVec: Learning robust representations with cross modal sharing
    Siddharth Srivastava, Gaurav Sharma · 2024 · IEEE Winter Conference on Applications of Computer Vision
  51. Action Recognition With Spatial-Temporal Discriminative Filter Banks
    Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  52. Geo-Aware Networks for Fine-Grained Recognition
    Grace Chu, Brian R. Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brücher, Thomas Leung, Hartwig Adam · 2019 · IEEE International Conference on Computer Vision Workshops
  53. A general deep learning model for bird detection in high‐resolution airborne imagery
    Ben G. Weinstein, Lindsey A. Garner, Vienna R. Saccomanno, Ashley Steinkraus, Andrew E. Ortega, Kristen Brush, Glenda M. Yenni, Ann E. McKellar, Rowan L. Converse, Christopher D. Lippitt et al. · 2022 · Ecological Applications
  54. Deep Learning for Fine-Grained Image Analysis: A Survey
    Xiu-Shen Wei, Jianxin Wu, Quan Cui · 2019 · arXiv (Cornell University)
  55. Strengths and Challenges of Using iNaturalist in Plant Research with Focus on Data Quality
    Eduard López-Guillén, Ileana Herrera, Badis Bensid, Carlos Gómez‐Bellver, Neus Ibáñez Cortina, Pedro Jiménez‐Mejías, Mario Mairal, Laura Mena, Neus Nualart, Monica Utjés et al. · 2024 · Diversity
  56. Digital holographic imaging and classification of microplastics using deep transfer learning
    Yanmin Zhu, Chok Hang Yeung, Edmund Y. M. Lam · 2020 · Applied Optics
  57. Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach
    Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  58. Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
    Chavan, Arnav, Shen, Zhiqiang, Liu, Zhuang, Liu, Zechun, Cheng, Kwang-Ting, Xing, Eric · 2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  59. Context Understanding in Computer Vision: A Survey
    Xuan Wang, Zhigang Zhu · 2022 · Computer Vision and Image Understanding
  60. Human-machine-learning integration and task allocation in citizen science
    Marisa Ponti, Alena Seredko · 2022 · Humanities and Social Sciences Communications
  61. Generalized Parametric Contrastive Learning
    Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  62. Neither Private Nor Fair
    Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask · 2020 · PPMLP@CCS
  63. Global Vision Transformer Pruning with Hessian-Aware Saliency
    Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo A. Molchanov, Hai Helen Li, Jan Kautz · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  64. Spatial Contrastive Learning for Few-Shot Classification
    Yassine Ouali, Céline Hudelot, Myriam Tami · 2021 · Lecture notes in computer science
  65. Throughput-Optimal Topology Design for Cross-Silo Federated Learning
    Othmane Marfoq, Chuan Xu, Giovanni Neglia, Vidal, Richard · 2020 · arXiv (Cornell University)
  66. A Broad Study of Pre-training for Domain Generalization and Adaptation
    Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko · 2022 · Lecture notes in computer science
  67. Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
    Yan Jin, Mengke Li, Yang Lu, Yiu‐ming Cheung, Hanzi Wang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  68. Priorities of action and research for the protection of biodiversity and ecosystem services in continental Ecuador
    Janina Kleemann, Hongmi Koo, Isabell Hensen, Glenda Mendieta‐Leiva, Belinda Kahnt, Christoph Kurze, Diego J. Inclán, Pablo Cuenca, Jin Kyoung Noh, Matthias H. Hoffmann et al. · 2021 · Biological Conservation
  69. Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
    Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  70. Progressive Adversarial Networks for Fine-Grained Domain Adaptation
    Sinan Wang, Xinyang Chen, Yunbo Wang, Mingsheng Long, Jianmin Wang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  71. Tree species classification from complex laser scanning data in Mediterranean forests using deep learning
    Matthew J. Allen, Stuart Grieve, Harry Jon Foord Owen, Emily Rebecca Lines · 2022 · Methods in Ecology and Evolution
  72. Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
    Zhen-Xiang Ma, Zhen-Duo Chen, Lijun Zhao, Zi-Chao Zhang, Xin Luo, Xin-Shun Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  73. Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification
    Jiahui Wang, Qin Xu, Bo Jiang, Bin Luo, Jinhui Tang · 2024 · IEEE Transactions on Image Processing
  74. Adjusting Decision Boundary for Class Imbalanced Learning
    Byungju Kim, Junmo Kim · 2020 · IEEE Access
  75. Automatic Fungi Recognition: Deep Learning Meets Mycology
    Lukáš Picek, Milan Šulc, Jiřı́ Matas, Jacob Heilmann‐Clausen, Thomas Stjernegaard Jeppesen, Emil Lind · 2022 · Sensors
  76. On Data Scaling in Masked Image Modeling
    Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  77. Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings
    Lukáš Picek, Milan Šulc, Yash Patel, Jiřı́ Matas · 2022 · Frontiers in Plant Science
  78. Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning
    Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  79. Learning Imbalanced Data with Vision Transformers
    Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  80. The CropAndWeed Dataset: a Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
    Daniel Steininger, Andreas Trondl, Gerardus Croonen, Julia Simon, Verena Widhalm · 2023 · IEEE Winter Conference on Applications of Computer Vision
  81. Emerging Technologies and Coral Reef Conservation: Opportunities, Challenges, and Moving Forward
    Elizabeth M. P. Madin, Emily S. Darling, Marah J. Hardt · 2019 · Frontiers in Marine Science
  82. Emerging technologies in citizen science and potential for insect monitoring
    Julie Koch Sheard, Tim Adriaens, Diana E. Bowler, Andrea Büermann, Corey T. Callaghan, Elodie C. M. Camprasse, Shawan Chowdhury, Thore Engel, Elizabeth A. Finch, Julia von Gönner et al. · 2024 · Philosophical Transactions of the Royal Society B Biological Sciences
  83. A Systematic Review on Long-Tailed Learning
    Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Manuel Portela da Gama · 2025 · IEEE Transactions on Neural Networks and Learning Systems
  84. Animal Detection in Man-made Environments
    Abhineet Kumar Singh, Marcin Pietrasik, Gabriell Natha, Nehla Ghouaiel, Ken Brizel, Nilanjan Ray · 2020 · IEEE Winter Conference on Applications of Computer Vision
  85. VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
    Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao · 2022 · Lecture notes in computer science
  86. Accurate Fine-Grained Object Recognition with Structure-Driven Relation Graph Networks
    Shijie Wang, Zhihui Wang, Haojie Li, Jianlong Chang, Wanli Ouyang, Qi Chuan Tian · 2023 · International Journal of Computer Vision
  87. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
    Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang · 2023 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  88. FET-FGVC: Feature-enhanced transformer for fine-grained visual classification
    Huazhen Chen, Haimiao Zhang, Chang Liu, Jianpeng An, Zhongke Gao, Jun Xia Qiu · 2024 · Pattern Recognition
  89. GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
    Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno M. Vasconcelos · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  90. CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning
    Zeren Sun, Xian‐Sheng Hua, Yazhou Yao, Xiu-Shen Wei, Guosheng Hu, Jian Zhang · 2020 · ACM International Conference on Multimedia (ACM MM)
  91. AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery
    Tom August, Oliver L. Pescott, Alexis Joly, Pierre Bonnet · 2020 · Patterns
  92. Fine-tuning Image Transformers using Learnable Memory
    Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Andrew Jackson · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  93. The effectiveness of MAE pre-pretraining for billion-scale pretraining
    Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross Girshick et al. · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  94. Deep transfer learning for image classification: a survey
    J. Plested, Musa Phiri, Tom Gedeon · 2022 · Artificial Intelligence Review
  95. A Deep Learning-Based Recognition Technique for Plant Leaf Classification
    Paul Shekonya Kanda, Kewen Xia, Olanrewaju Hazzan Sanusi · 2021 · IEEE Access
  96. Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information
    Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Jun Yang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  97. Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
    Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu‐ming Cheung, Hui Fei Huang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  98. AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces
    Muhammad Haris Khan, John McDonagh, Salman Hameed Khan, Muhammad Shahabuddin, Aditya Arora, Fahad Shahbaz Khan, Ling Shao, Georgios Tzimiropoulos · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  99. Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision Pollination
    Malika Nisal Ratnayake, Don Chathurika Amarathunga, Asaduz Zaman, Adrian G. Dyer, Alan Dorin · 2022 · International Journal of Computer Vision
  100. Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization
    Kangjun Liu, Ke Chen, Kui Jia · 2022 · IEEE Transactions on Image Processing