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 601–700 of 1,003

  1. Estimating boreal forest ground cover vegetation composition from nadir photographs using deep convolutional neural networks
    Hilary A. Cameron, Pranoy Panda, Martin Barczyk, Jennifer L. Beverly · 2022 · Ecological Informatics
  2. Standard Identification Certificate for Legal Legislation of a Unique Gene Pool of Thai Domestic Elephants Originating from a Male Elephant Contribution to Breeding
    Nattakan Ariyaraphong, Dung Ho My Nguyen, Worapong Singchat, ‪Warong Suksavate, Thitipong Panthum, Warangkhana Langkaphin, Saran Chansitthiwet, Taweepoke Angkawanish, Arphorn Promking, Kantapon Kaewtip et al. · 2022 · Sustainability
  3. Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
    Guoxuan Xia, Christos-Savvas Bouganis · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  4. An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
    Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot · 2024 · IEEE Winter Conference on Applications of Computer Vision
  5. RDProtoFusion: Refined discriminative prototype-based multi-task fusion for cross-domain few-shot learning
    Shuzhen Rao, Jun Huang, Zengming Tang · 2024 · Neurocomputing
  6. Computer Audition for Continuous Rainforest Occupancy Monitoring: The Case of Bornean Gibbons’ Call Detection
    Panagiotis Tzirakis, Alexander Shiarella, Robert M. Ewers, Björn Wolfgang Schuller · 2020 · Interspeech (USB)
  7. Qualitative and quantitative methods show stability in patterns of Cepaea nemoralis shell polymorphism in the Pyrenees over five decades
    Daniel Ramos‐Gonzalez, Angus Davison · 2021 · Ecology and Evolution
  8. MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning
    Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu · 2022 · International Joint Conference on Artificial Intelligence
  9. Dolphin conservation can profit from tourism and Citizen science
    Paulo Victor Resende dos Santos, Eduardo Bessa · 2019 · Environmental Development
  10. NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
    Cameron Trotter, Georgia Atkinson, Matthew Joel Sharpe, Kirsten Richardson, Andrew Stephen McGough, Wright, Nick, Ben Burville, Per Berggren · 2020 · arXiv (Cornell University)
  11. Improving Calibration for Long-Tailed Recognition
    Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia · 2021 · arXiv (Cornell University)
  12. On Bridging Generic and Personalized Federated Learning for Image Classification
    Hong-You Chen, Wei‐Lun Chao · 2021 · arXiv (Cornell University)
  13. MSE Loss with Outlying Label for Imbalanced Classification
    Sota Kato, Kazuhiro Hotta · 2021 · arXiv (Cornell University)
  14. HAR: Hardness Aware Reweighting for Imbalanced Datasets
    Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun · 2021 · IEEE International Conference on Big Data (BigData)
  15. Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification
    Hong Zhao, Zhengyu Li, Wenwei He, Yan Zhao · 2024 · ACM Transactions on Knowledge Discovery from Data
  16. Frequency-Based Matcher for Long-Tailed Semantic Segmentation
    Shan Li, Lu Yang, Pu Cao, Liulei Li, Huadóng Ma · 2024 · IEEE Transactions on Multimedia
  17. Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels
    Cong Pan, Junran Peng, Xingyuan Bu, Zhaoxiang Zhang · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  18. FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
    Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang · 2024 · IEEE Transactions on Intelligent Transportation Systems
  19. Grade-Skewed Domain Adaptation via Asymmetric Bi-Classifier Discrepancy Minimization for Diabetic Retinopathy Grading
    Yuan Ma, Yang Gu, Shuai Guo, Xin Qin, Shijie Wen, Nianfeng Shi, Weiwei Dai, Yiqiang Chen · 2024 · IEEE Transactions on Medical Imaging
  20. Collaborative Global-Local Structure Network With Knowledge Distillation for Imbalanced Data Classification
    Feiyan Wu, Zhunga Liu, Zuowei Zhang, Jiaxiang Liu, Longfei Wang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
  21. Meta channel masking for cross-domain few-shot image classification
    Siqi Hui, Sanping Zhou, Ye Deng, Pengna Li, Jinjun Wang · 2024 · Neurocomputing
  22. Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management
    Soumyashree Kar, Adinarayana Jagarlapudi · 2024 · Studies in big data
  23. Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video
    Maksym Kholiavchenko, Jenna Kline, Maksim V. Kukushkin, Otto Brookes, Sam Stevens, Isla Duporge, Alec Sheets, Reshma R. Babu, Namrata Banerji, Elizabeth Campolongo et al. · 2024 · Multimedia Tools and Applications
  24. Frequency-Spatial Complementation: Unified Channel-Specific Style Attack for Cross-Domain Few-Shot Learning
    Zhong Ji, Zhilong Wang, Xiyao Liu, Yunlong Yu, Yanwei Pang, Jungong Han · 2025 · IEEE Transactions on Image Processing
  25. YOLO-WildASM: An Object Detection Algorithm for Protected Wildlife
    Yutong Zhu, Yixuan Zhao, Yanxin He, Baoguo Wu, Xiaohui Su · 2025 · Animals
  26. Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
    Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King · 2026 · IEEE Transactions on Neural Networks and Learning Systems
  27. A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning
    Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  28. Learning Rare Category Classifiers on a Tight Labeling Budget
    Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  29. Investigating Plant–Bird Co-Occurrence Patterns in Mediterranean Wetlands: Can They Reveal Signals of Ecosystem Connectivity?
    Mauro Fois, Alba Cuena‐Lombraña, Carla Zucca, Sergio Nissardi, Gianluigi Bacchetta · 2022 · Diversity
  30. Mapping cherry blossom phenology using a semi-automatic observation system with street level photos
    Narumasa Tsutsumida, Shuya Funada · 2023 · Ecological Informatics
  31. Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
    Yanbiao Ma, Licheng Jiao, Fang Liu, Shuyuan Yang, Xu Liu, Lingling Li · 2023 · ACM International Conference on Multimedia (ACM MM)
  32. BWLM: A Balanced Weight Learning Mechanism for Long-Tailed Image Recognition
    Baoyu Fan, Han Ma, Yue Liu, Xiaochen Yuan · 2024 · Applied Sciences
  33. Fine-Grained Cross-Modal Semantic Consistency in Natural Conservation Image Data from a Multi-Task Perspective
    Tao Rui, Meng Zhu, Haiyan Cao, Honge Ren · 2024 · Sensors
  34. Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: How does it work and how can we improve it?
    Tanguy Lefort, Antoine Affouard, Benjamin Charlier, Jean‐Christophe Lombardo, Mathias Chouet, Hervé Goëau, Joseph Salmon, Pierre Bonnet, Alexis Joly · 2025 · Methods in Ecology and Evolution
  35. Investigations of butterfly species identification from images in natural environments
    Juanying Xie, Yinyuan Lu, Zhaozhong Wu, Sheng‐Quan Xu, Phil W. Grant · 2021 · International Journal of Machine Learning and Cybernetics
  36. Hierarchical block aggregation network for long-tailed visual recognition
    Shanmin Pang, Weiye Wang, Ren-Zhong Zhang, Wenyu Hao · 2023 · Neurocomputing
  37. Single-Stage Heavy-Tailed Food Classification
    Jiangpeng He, Fengqing Maggie Zhu · 2023 · Proceedings - International Conference on Image Processing
  38. Feature Space Augmentation for Long-Tailed Data
    Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling · 2020 · arXiv (Cornell University)
  39. Cross-domain few-shot learning with unlabelled data
    Fupin Yao · 2021 · arXiv (Cornell University)
  40. Robust long-tailed learning under label noise
    Tong Wei, Jiang-Xin Shi, Min-Ling Zhang, Yu-Feng Li · 2025 · Frontiers of Computer Science
  41. Leaves and Twigs Image Recognition Based on Deep Learning and Combined Classifier Algorithms
    Xiaobo Sun, Lin Xu, Yufeng Zhou, Yongjun Shi · 2023 · Forests
  42. Mitigating biases in long-tailed recognition via semantic-guided feature transfer
    Sheng Shi, Peng Wang, Xinfeng Zhang, Jianping Fan B · 2024 · Neurocomputing
  43. Low-Dimensional Gradient Helps Out-of-Distribution Detection
    Yingwen Wu, Tao Li, Xinwen Cheng, Jie Yang, Xiaolin Huang · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  44. ReweightOOD: Loss Reweighting for Distance-based OOD Detection
    Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna Gyawali, Danail V. Stoyanov, Binod Bhattarai · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  45. UNIC: Universal Classification Models via Multi-teacher Distillation
    Mert Bülent Sarıyıldız, Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis · 2024 · Lecture notes in computer science
  46. Distributionally Robust Loss for Long-Tailed Multi-label Image Classification
    D. X. Lin, Tailai Peng, Rui Chen, X. C. Xie, Xiaolin Qin, Zhe Cui · 2024 · Lecture notes in computer science
  47. Prototype Alignment With Dedicated Experts for Test-Agnostic Long-Tailed Recognition
    Chen Guo, Weiling Chen, Aiping Huang, Tiesong Zhao · 2024 · IEEE Transactions on Multimedia
  48. Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
    Minseok Son, Inyong Koo, Jinyoung Park, Changick Kim · 2025 · Proceedings of the AAAI Conference on Artificial Intelligence
  49. Mixture of Gaussian-Distributed Prototypes With Generative Modelling for Interpretable and Trustworthy Image Recognition
    Chong Wang, Yuanhong Chen, Fengbei Liu, Y. Liu, Davis James McCarthy, Helen M. L. Frazer, Gustavo Carneiro · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  50. Unsupervised and controllable synthesizing for imbalanced energy dataset based on AC-InfoGAN
    Zhenghao Zhou, Yiyan Li, Runlong Liu, Xiaoyuan Xu, Zheng Yan · 2025 · Applied Energy
  51. Fixing Background Misclassification in Few-Shot Object Detection via Product of Experts
    Ding Sheng Ong, Yi Liu, Changjing Shang, Guiguang Ding, Qiang Shen, Jungong Han · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  52. From Channel Bias to Feature Redundancy: Uncovering the “Less is More” Principle in Few-Shot Learning
    Jie Zhang, Xu Luo, Lianli Gao, Difan Zou, Heng Tao Shen, Jingkuan Song · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  53. Bamboo: Building Mega-Scale Vision Dataset Continually with Human–Machine Synergy
    Yuanhan Zhang, Qinghong Sun, Yichun Zhou, Zexin He, Zhenfei Yin, Kun Wang, Lu Sheng, Yu Qiao, Jing Shao, Ziwei Liu · 2025 · International Journal of Computer Vision
  54. A Framework for Autonomic Computing for In Situ Imageomics
    Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth Campolongo et al. · 2023 · IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
  55. Calibrated Out-of-Distribution Detection with a Generic Representation
    Tomáš Vojíř, Jan Šochman, Rahaf Aljundi, Jiřı́ Matas · 2023 · IEEE International Conference on Computer Vision Workshops
  56. An Efficient Multi-Label Classification-Based Municipal Waste Image Identification
    Rongxing Wu, Xingmin Liu, Tian-tian Zhang, Jiawei Xia, Jiaqi Li, Mingan Zhu, Gaoquan Gu · 2024 · Processes
  57. Incremental Model Enhancement via Memory-based Contrastive Learning
    Shiyu Xuan, Ming–Hsuan Yang, Shiliang Steven Zhang · 2024 · International Journal of Computer Vision
  58. Data Augmentation's Effect on Machine Learning Models when Learning with Imbalanced Data
    Damien A. Dablain, Nitesh V. Chawla · 2024 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
  59. Gradient-Regularized Out-of-Distribution Detection
    Sina Sharifi, Taha Entesari, Bardia Safaei, Vishal M. Patel, Mahyar Fazlyab · 2024 · Lecture notes in computer science
  60. Using digitized museum collections to understand the effects of habitat on wing coloration in the Puerto Rican monarch
    Mariangelí Echevarría Ramos, C. Hulshof · 2019 · Biotropica
  61. Exploring the ability of urban householders to correctly identify nocturnal mammals
    Rochelle Steven, Bronte E. Van Helden, AYESHA I. T. TULLOCH, Megan D. Barnes, Paul Graeme Close, Richard A. Fuller · 2021 · Urban Ecosystems
  62. Exploring Visual Engagement Signals for Representation Learning
    Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge Belongie, Ser-Nam Lim · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  63. Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement
    Zefan Li, Chenxi Liu, Alan Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  64. BiCSNet: A Bidirectional Cross-Scale Backbone for Recognition and Localization
    Peng Song, Zhenfeng Shao, Xiao Huang, Yi Zhu, Ruiqian Zhang, Junwei Zha · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
  65. Rethinking class orders and transferability in class incremental learning
    Chen He, Rui-Ping Wang, Xi-Lin Chen · 2022 · Pattern Recognition Letters
  66. Individual‐based models of avian migration for estimating behavioural traits and predicting ecological interactions
    Benjamin A. Tonelli, Alan E. Zelin, Donald C. Dearborn, Morgan W. Tingley · 2023 · Methods in Ecology and Evolution
  67. Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization
    Dongping Liao, Xitong Gao, Chengzhong Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  68. Mitigating Dataset Imbalance via Joint Generation and Classification
    Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Feris, Abir Das · 2020 · Lecture notes in computer science
  69. Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
    Nguyen Huu Phong, Bernardete Ribeiro · 2020 · arXiv (Cornell University)
  70. Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning.
    Young‐Taek Oh, Dong-Jin Kim, In So Kweon · 2021 · arXiv (Cornell University)
  71. Teacher's pet: understanding and mitigating biases in distillation
    Michal Lukasik, Srinadh Bhojanapalli, A. Menon, Sanjiv Kumar · 2021 · Trans. Mach. Learn. Res.
  72. Fine-Grained Image Analysis with Deep Learning: A Survey
    Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Jun Yang, Serge Belongie · 2021 · arXiv (Cornell University)
  73. Algorithmic fairness datasets: the story so far
    Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto · 2022 · Data Mining and Knowledge Discovery
  74. Late to the party? On-demand unlabeled personalized federated learning
    Ohad Amosy, Gal Eyal, Gal Chechik · 2024 · IEEE Winter Conference on Applications of Computer Vision
  75. Out-of-Distribution Detection with Virtual Outlier Smoothing
    Jun Nie, Yadan Luo, Shanshan Ye, Yonggang Zhang, Xinmei Tian, Zhen Fang · 2024 · International Journal of Computer Vision
  76. Overcoming language priors in visual question answering with cumulative learning strategy
    Aihua Mao, Feng Chen, Ziying Ma, Ken Young Lin · 2024 · Neurocomputing
  77. Improving deep representation learning via auxiliary learnable target coding
    Kangjun Liu, Ke Chen, Kui Jia, Yaowei Wang · 2024 · Pattern Recognition
  78. COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
    Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, Ludo Johannes Cornelissen, Jacob W. Kamminga · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  79. Towards a Taxonomy Machine: A Training Set of 5.6 Million Arthropod Images
    Dirk Steinke, Sujeevan Ratnasingham, Jireh R. A. Agda, Hamza Ait Boutou, Isaiah C. H. Box, M Boyle, D Chan, Corey Feng, SC Lowe, Jaclyn McKeown et al. · 2024 · Data
  80. Rethinking Noise Sampling in Class-Imbalanced Diffusion Models
    Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Dan Deng · 2024 · IEEE Transactions on Image Processing
  81. Utilising affordable smartphones and open-source time-lapse photography for pollinator image collection and annotation
    Valentin Ştefan, Aspen Workman, Jared C. Cobain, Demetra Rákosy, Tiffany M. Knight · 2025 · Journal of Pollination Ecology
  82. Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning
    Zichen Tian, Yaoyao Liu, Qianru Sun · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  83. CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
    Zhiwei Ling, Yachen Chang, Hailiang Zhao, Xinkui Zhao, Kingsum Chow, Shuiguang Deng · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  84. Deep Learning Based Fine‐Grained Image Classification: Recent Advances, Applications and Future Outlook
    Ying Liu, Haibin Zhang, Xin Che, Weidong Zhang, Guojun Lu · 2025 · IET Image Processing
  85. Socio-ecological patterns of citizens science programs: The case of forestry observations in 3 central Mexico states
    Rafael Fernández-Álvarez, Miguel de J. Gutiérrez Ladrón de Guevara · 2022 · Urban forestry & urban greening
  86. Hierarchical Average Precision Training for Pertinent Image Retrieval
    Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot · 2022 · Lecture notes in computer science
  87. Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention
    Andrés C. Rodríguez, Stefano D’Aronco, Konrad Schindler, Jan Dirk Wegner · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  88. Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
    Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yi‐Wen Huang, Weifeng Ge, Wenqiang Zhang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  89. Soft Weight Pruning for Cross-Domain Few-Shot Learning With Unlabeled Target Data
    Fanfan Ji, Xiao–Tong Yuan, Qingshan Liu · 2024 · IEEE Transactions on Multimedia
  90. Revisiting the Effective Number Theory for Imbalanced Learning
    Ou Wu, Mengyang Li · 2024 · IEEE Transactions on Knowledge and Data Engineering
  91. TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
    Jiankang Chen, Tong Zhang, Wei‐Shi Zheng, Ruixuan Wang · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
  92. Hybrid CGAN-based plant leaf disease classification using OTSU and surf feature extraction
    E. Saraswathi, J. Faritha Banu · 2024 · Neural Computing and Applications
  93. Leveraging camera traps and artificial intelligence to explore thermoregulation behaviour
    Ben Shermeister, Danny Mor, Ofir Levy · 2024 · Journal of Animal Ecology
  94. A local community on a global collective intelligence platform: A case study of individual preferences and collective bias in ecological citizen science
    O. Arazy, Keren Kaplan-Mintz, Dan Malkinson, Yiftach Nagar · 2024 · PLoS ONE
  95. FineDiffusion: scaling up diffusion models for fine-grained image generation with 10,000 classes
    Ziying Pan, Kun Wang, Gang Li, Feihong He, Yongxuan Lai · 2025 · Applied Intelligence
  96. Coarsely-labeled Data for Better Few-shot Transfer
    Cheng Perng Phoo, Bharath Hariharan · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  97. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT
    Usman Ahmed, Jerry Chun‐Wei Lin, Gautam Srivastava · 2022 · ACM Transactions on Sensor Networks
  98. Compound Batch Normalization for Long-tailed Image Classification
    Lechao Cheng, Chaowei Fang, Dingwen Zhang, Guanbin Li, Gang Huang · 2022 · ACM International Conference on Multimedia (ACM MM)
  99. Do we need to mine social media data to detect exotic vertebrate-pest introductions?
    Peter A. Caley, Phillip Cassey · 2023 · Wildlife Research
  100. Deep Learning Methodology for Early Detection and Outbreak Prediction of Invasive Species Growth
    Nathan Elias · 2023 · IEEE Winter Conference on Applications of Computer Vision