The iNaturalist Species Classification and Detection Dataset

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Items 901–1,000 of 1,003

1. Gradient-Aware Logit Adjustment Loss for Long-Tailed Classifier
   Fan Zhang, Wei Qin, Weijieying Ren, Lei Wang, Zetong Chen, Richang Hong · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
2. Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
   Kun Fang, Qinghua Tao, Xiaolin Huang, Jie Yang · 2024 · International Journal of Computer Vision
3. BioEncoder : A metric learning toolkit for comparative organismal biology
   Moritz Lürig, Emanuela Di Martino, Arthur Porto · 2024 · Ecology Letters
4. $\gamma$-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training
   Lei Liu, Peng Zhang, Yunji Liang, Junrui Liu, Lia Morra, Bin Guo, Zhiwen Yu, Yanyong Zhang, Daniel Dajun Zeng · 2024 · IEEE Transactions on Computational Social Systems
5. Image Recognition as a “Dialogic AI Partner” Within Biodiversity Citizen Science—an empirical investigation
   Nirwan Sharma, Laura Colucci‐Gray, Poppy Lakeman-Fraser, Annie Robinson, Julie Newman, René van der Wal, Stefan Rueger, Advaith Siddharthan · 2024 · Citizen Science Theory and Practice
6. Differences in drought avoidance rather than differences in the fast versus slow growth spectrum explain distributions of two Asclepias species
   Steven L. Matzner, Emily R. Konz, Samantha A. Marts, Haley M. Eversman, Kyla M. Kasuske, Trinity L. Atkins, Sneha Acharya, Lara C. Matuck, Lillian M. Derynck, Sydney Kreutzmann et al. · 2024 · Physiologia Plantarum
7. CFRL: Coarse-Fine Decoupled Representation Learning For Long-Tailed Recognition
   Yiran Song, Qianyu Zhou, Kun Hu, Lizhuang Ma, Xuequan Lu · 2024 · ACM International Conference on Multimedia in Asia (MMAsia)
8. S3H: Long-tailed classification via spatial constraint sampling, scalable network, and hybrid task
   Wenyi Zhao, Wei Li, Yongqin Tian, Enwen Hu, Wentao Liu, Bin Zhang, Weidong Zhang, Huihua Yang · 2025 · Neural Networks
9. MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos
   Zsófia Katona, Seyed Sahand Mohammadi Ziabari, Fatemeh Karimi Nejadasl · 2025 · Lecture notes in computer science
10. A Two-Head Loss Function for Deep Average-K Classification
    Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon · 2025 · IEEE Winter Conference on Applications of Computer Vision
11. Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
    Xin Gu, Gautam Kamath, Zhiwei Steven Wu · 2025 · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
12. Naïve Approach for Bounding Box Annotation and Object Detection Towards Smart Retail Systems
    Pubudu Ekanayake, Zhaoli Deng, Chenhui Yang, Xin Hong, Jang Yang · 2019 · Lecture notes in computer science
13. A Transaction Classification Model of Federated Learning
    Usman Ahmed, Jerry Chun‐Wei Lin, Gautam Srivastava, Philippe Fournier‐Viger · 2021 · Lecture notes in computer science
14. Mask-Vit: an Object Mask Embedding in Vision Transformer for Fine-Grained Visual Classification
    Tong Su, Shuo Ye, Chengqun Song, Jun Sheng Cheng · 2022 · Proceedings - International Conference on Image Processing
15. A Hierarchical Assessment of Adversarial Severity
    Guillaume Jeanneret, Juan C. Pérez, Pablo Arbeláez · 2021 · IEEE International Conference on Computer Vision Workshops
16. An Effective Hybrid Approach Based on Machine Learning Techniques for Auto-Translation: Japanese to English
    Mhd Saeed Sharif, Bilyaminu Auwal Romo, Harry Maltby, Ali Hilal Al-Bayatti · 2021 · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
17. Utilizing The iNaturalist Application for Biology Research and Learning
    Ipin, Aden Arif Gaffar, Rika Firda Rizkia, Diana Yulianti · 2023 · Journal of Mangifera Edu
18. Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning
    Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
19. The iMaterialist Fashion Attribute Dataset
    Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Scott, Matthew R., Hartwig Adam, Serge Belongie · 2019 · arXiv (Cornell University)
20. Classifying the Unknown: Identification of Insects by Deep Open-set Bayesian Learning
    Sarkhan Badirli, Christine Johanna Picard, George Mohler, Zeynep Akata, Murat Dündar · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
21. Self-supervised learning for early detection of neurodegenerative diseases with small data
    Hongchao Jiang · 2023 · DR-NTU (Nanyang Technological University)
22. A survey on confidence calibration of deep learning under class imbalance data
    Jinzong Dong, Zhaohui Jiang, Dong Pan, Zhiwen Chen, Qingyi Guan, Hongbin Zhang, Gui Gui, Weihua Gui · 2024
23. Augmenting Features via Contrastive Learning-based Generative Model for Long-Tailed Classification
    Minho Park, Hyung-Il Kim, Hwa Jeon Song, Dong‐oh Kang · 2023 · IEEE International Conference on Computer Vision Workshops
24. The leaf‐footed cactus bug is not a cactus specialist: Narnia femorata feeds, fights, and mates on thistle
    Lauren A. Cirino, Isaac McEvoy, Logan C. Smith, Zachary Emberts · 2024 · Ecology and Evolution
25. Naturally constrained reject option classification
    Nicholas Kashani Motlagh, Jim Davis, Tim Anderson, Jeremy Gwinnup · 2024 · Machine Vision and Applications
26. TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection
    Xixi Liu, Christopher Zach · 2024 · Lecture notes in computer science
27. Enhancing Representations Through Heterogeneous Self-Supervised Learning
    Zhong-Yu Li, Bowen Yin, Yongxiang Liu, Li Liu, Ming‐Ming Cheng · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
28. Rebalancing in Supervised Contrastive Learning for Long-Tailed Visual Recognition
    Jiahui Lv, Jun Wei Lei, Jun Zhang, Chao Chen, Shuohao Li · 2025 · Big Data and Cognitive Computing
29. MPLR: a long-tailed recognition method based on visual language prompts
    Shaoxin Qiu, Junhai Zhai, Jiankai Chen · 2025 · Multimedia Systems
30. Boosting Long-Tailed Recognition With Label Descriptor and Beyond
    Zhengzhuo Xu, Ruikang Liu, Zenghao Chai, Qi Yan, Lei Li, Haiqin Yang, Chun Yuan · 2025 · IEEE Transactions on Multimedia
31. Automated Essential Concept Discovery for Few-Shot Out-of-Distribution Detection
    Guangyao Chen, Kai A. Horstmann, Zhilong Wang, Fengqi You · 2025 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
32. Assessing Habitat Suitability and Connectivity of Black Storks in China: Integrating Species Distribution Models and Landscape Connectivity Analysis
    Zhiheng Zhang, Jinyu Yang, Xiaohan Yu, Yuerong Jia, Lei Zhang, Dongmei Wan · 2025 · Ecology and Evolution
33. Exploring “Many in Few” and “Few in Many” Properties in Long-Tailed, Highly Imbalanced IC Defect Classification
    Hao-Chiang Shao, Chun‐Hao Chang, Yu-Hsien Lin, Chia‐Wen Lin, Shao‐Yun Fang, Yan-Hsiu Liu · 2025 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
34. Activation Shape Matters: OOD Detection with Norm-Entropy Fusion
    Jiawei Gu, Ziyue Qiao, Zechao Li · 2025 · ACM International Conference on Multimedia (ACM MM)
35. OpenBEATs: A Fully Open-Source General-Purpose Audio Encoder
    Shikhar Bharadwaj, Samuele Cornell, Kwanghee Choi, Satoru Fukayama, Hye-jin Shim, Soham Deshmukh, Shinji Watanabe · 2025 · IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
36. Supervised Contrastive Learning With Mixed Samples for Long-Tailed Recognition
    Peihuan Song, Luojun Lin, Yuanlong Yu, Wenjie Yang, Qinghai Zheng · 2025 · IEEE Signal Processing Letters
37. A Genealogy of Foundation Models in Remote Sensing
    Kevin Lane, Morteza Karimzadeh · 2026 · ACM Transactions on Spatial Algorithms and Systems
38. Enhanced local homogenization and reconstruction network for few-shot fine-grained image classification
    Meiyin Hu, Huan Wan, Hui Wang, Jianfeng Xu, Xin Wei · 2026 · Computer Vision and Image Understanding
39. Frequency-guided generalizable representation learning for cross-domain few-shot learning
    Siqi Hui, Sanping Zhou, Ye Deng, Wenli Huang, Yang Wu, Jinjun Wang · 2026 · Pattern Recognition
40. Learning Separable Fine-Grained Representation via Dendrogram Construction from Coarse Labels for Fine-grained Visual Recognition
    Guanghui Shi, Xuefeng Liang, Wenjie Li, Xiaoyu Lin · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
41. Supervised Exploratory Learning for Long-Tailed Visual Recognition
    Zhi-Wei Jian, Yanhao Chen, Wang Yancheng, Junfeng Yao, Meihong Wang, Qingqiang Wu · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
42. Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
    Jinglun Li, Kaixun Jiang, Zhaoyu Chen, Bo Lin, Yao Tang, Weifeng Ge, Wenqiang Zhang · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
43. A Tiny Change, a Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment
    Xinyi Lai, Luojun Lin, Weijie Chen, Yuanlong Yu · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
44. A New Classifier by Remixing Features and Adjusting Logits for Long-Tailed Visual Data
    Xiyan Deng, Yuping Wang, Minqi Li · 2021 · International Conference on Computational Intelligence and Security (CIS)
45. Media used as an information source to solve baseline gaps in marine megafauna conservation: Recommendations to standardize reports on cetacean stranding events
    Xin Liu, Zhigang Mei, Jinsong Zheng, Yujiang Hao, Kexiong Wang, Ding Wang · 2022 · Aquatic Conservation Marine and Freshwater Ecosystems
46. Soda maker for field anesthesia as a step towards a non-lethal identification of wild bees and other flower visitors
    Megan Toulzac, Mériem Methlouthi, A. Perrard · 2022 · Osmia
47. DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
    Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Hassan Awadallah, Zhangyang Wang · 2022 · Lecture notes in computer science
48. Feature Re-Balancing for Long-Tailed Visual Recognition
    Yan Li Zhao, Weicong Chen, Kai Huang, Jihong Zhu · 2022 · International Joint Conference on Neural Networks (IJCNN)
49. Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
    Aiman Yusoff, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Khusairi Sapuan · 2023 · International Journal of Emerging Technology and Advanced Engineering
50. Long-Tailed Recognition by Hierarchical Rebalancing Dual-Classifier
    Junsong Zhang, Linsheng Gao, Hao Li, Hao Zhou · 2023 · IEEE Access
51. Estimating Deep Learning energy consumption based on model architecture and training environment
    Santiago del Rey, Luís Cruz, Xavier Franch, Silverio Martínez‐Fernández · 2026 · Computer Standards & Interfaces
52. Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition
    Haocheng Luo, Wei Tan, Ngoc Thanh Nguyên, Lan Du · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
53. SCD:Sampling-based Class Distribution for Imbalanced Semi-Supervised Learning
    Haomiao Qiu, Haixing Liu, Chi Zhang · 2023 · IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
54. EPA: Neural Collapse Inspired Robust Out-of-distribution Detector
    Jiawei Zhang, Yufan Chen, Cheng Jin, Lei Zhu, Yuantao Gu · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
55. Embedding Task Structure for Action Detection
    Michael Peven, Gregory D. Hager · 2024 · IEEE Winter Conference on Applications of Computer Vision
56. A dual-branch feature fusion neural network for fish image fine-grained recognition
    Xu Geng, Jinxiong Gao, Yonghui Zhang, Rong Wang · 2024 · The Visual Computer
57. Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning
    Xinyi Chang, Chunyu Du, Xinjing Song, Weifeng Liu, Yanjiang Wang · 2024 · Neural Processing Letters
58. Relevance equilibrium network for cross-domain few-shot learning
    Zhong Ji, Xiangyu Kong, Xuan Wang, Xiyao Liu · 2024 · International Journal of Multimedia Information Retrieval
59. Polymorphic Clustering and Approximate Masking Framework for Fine-Grained Insect Image Classification
    Hua Huo, Aokun Mei, Ningya Xu · 2024 · Electronics
60. Triplet Adaptation Framework for Robust Semi-Supervised Learning
    Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
61. Fine-grained recognition via submodular optimization regulated progressive training
    Bin Kang, Сонглин Ду, Dong Liang, Fan Wu, Xin Li · 2024 · Pattern Recognition
62. Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
    Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie · 2024 · IEEE Conference on Artificial Intelligence (CAI)
63. Otem-IGCD: An Optimal Transport-based EM Framework for Imbalanced Generalized Category Discovery
    Ziyun Li, Ben Dai, Christoph Meinel, Haojin Yang · 2024 · International Joint Conference on Neural Networks (IJCNN)
64. Robust Neural Architecture Search under Long-Tailed Distribution
    Yuqi Feng, Jian Zhang, Yanan Sun · 2024 · International Joint Conference on Neural Networks (IJCNN)
65. Breaking the Limits of Reliable Prediction via Generated Data
    Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng‐Lin Liu · 2024 · International Journal of Computer Vision
66. HaLViT: Half of the Weights are Enough
    Onur Can Koyun, Behçet Uğur Töreyın · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
67. Hypergraph-guided Intra- and Inter-category Relation Modeling for Fine-grained Visual Recognition
    Lu Chen, Qiangchang Wang, Zhaohui Li, Yilong Yin · 2024 · ACM International Conference on Multimedia (ACM MM)
68. Parameter-Efficient Complementary Expert Learning for Long-Tailed Visual Recognition
    Lixiang Ru, Xin Guo, Lei Yu, Yingying Zhang, Jiangwei Lao, Jian Wang, Jingdong Chen, Yansheng Li, Ming Yang · 2024 · ACM International Conference on Multimedia (ACM MM)
69. SCOD: From Heuristics to Theory
    Vojtěch Franc, Jakub Paplhám, Daniel Průša · 2024 · Lecture notes in computer science
70. Open-World Dynamic Prompt and Continual Visual Representation Learning
    Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer · 2024 · Lecture notes in computer science
71. Token Embeddings Augmentation benefits Parameter-Efficient Fine-Tuning under long-tailed distribution
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72. Multi-scale local regional attention fusion using visual transformers for fine-grained image classification
    Yusong Li, Bin Xie, Yuling Li, Jiahao Zhang · 2024 · The Visual Computer
73. Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection
    Zihan Zhang, Zhuo Xu, Xiang Xiang · 2024 · Lecture notes in computer science
74. Recommendation of Data-Free Class-Incremental Learning Algorithms by Simulating Future Data
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75. The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data
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76. Semi-Discrete Optimal Transport for Long-Tailed Classification
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77. Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers
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78. Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species
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79. Diffusion-Based Generative Regularization for Supervised Discriminative Learning
    Takuya Asakura, Nakamasa Inoue, Koichi Shinoda · 2025 · IEEE Winter Conference on Applications of Computer Vision
80. Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images
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81. HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
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82. A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning
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83. UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark
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84. Prior2Posterior: Model Prior Correction for Long-Tailed Learning
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85. Webly Supervised Fine-Grained Classification by Integrally Tackling Noises and Subtle Differences
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86. SOOD-ImageNet: A Large-Scale Dataset for Semantic Out-of-Distribution Image Classification and Semantic Segmentation
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87. PDFL: Progressive Discriminative Feature Learning for long-tailed recognition
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88. Improving long-tailed image classification through multi-samples features transfer and preserving modules
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89. PGA-Net: progressive granularity-aware training network for fine-grained image recognition
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90. Precision at scale: Domain-specific datasets on-demand
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91. 4S-Classifier: Empowering Conservation through Semi-Supervised Learning for Rare and Endangered Species
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92. Enhancing Features in Long-tailed Data Using Large Vision Model
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93. Justifying Biodiversity Data Access Restrictions: A Global Comparison of Data Policies
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94. Introduction of the Predatory Land Snail Species Poiretia delesserti (Spiraxidae) in France
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95. Hybrid ResNet based on joint basic and attention modules for long-tailed classification
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96. Strong foraging preferences for Ribes alpinum (Saxifragales: Grossulariaceae) in the polyphagous caterpillars of Buff‐tip moth Phalera bucephala (Lepidoptera: Notodontidae)
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97. Have Fun Storming the Castle(s)!
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98. A Fine-Grained Object Detection Framework Based on Fixed ROI Masking and Feature Optimization in Optical Remote Sensing Images
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99. Performance Investigation of a Proposed CBIR Search Engine Using Deep Convolutional Neural Networks
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100. Relative Contrastive Loss for Unsupervised Representation Learning
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