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The iNaturalist Species Classification and Detection Dataset

20 July 2017

Papers citing "The iNaturalist Species Classification and Detection Dataset"

42 / 42 papers shown

Title
TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection Weijun Gao Rundong He Jinyang Dong Yongshun Gong OODD 202 0 0 19 Nov 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 230 1 0 18 Feb 2025
LTRL: Boosting Long-tail Recognition via Reflective Learning QiHao Zhao Yalun Dai Shen Lin Wei Hu Fan Zhang Jun Liu 227 3 0 17 Jul 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 201 0 0 23 Jun 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated ContentComputer Vision and Pattern Recognition (CVPR), 2024 QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 253 32 0 09 Mar 2024
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond Siyuan Li Luyuan Zhang Zedong Wang Di Wu Lirong Wu ... Jun Xia Cheng Tan Yang Liu Baigui Sun Stan Z. Li SSL 227 26 0 31 Dec 2023
NECO: NEural Collapse Based Out-of-distribution detectionInternational Conference on Learning Representations (ICLR), 2023 Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 246 30 0 10 Oct 2023
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023 Yulong Shi Mingwei Sun Yongshuai Wang Hui Sun Zengqiang Chen 321 8 0 10 Oct 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed RecognitionIEEE International Conference on Computer Vision (ICCV), 2023 QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 124 24 0 19 Aug 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2023 Qin Zhang Linghan Xu Qingming Tang Jun Fang Yingqi Wu Joseph Tighe Yifan Xing 170 9 0 08 Jul 2023
A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection Eduardo Dadalto Camara Gomes Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 507 2 0 06 Jun 2023
Train/Test-Time Adaptation with RetrievalComputer Vision and Pattern Recognition (CVPR), 2023 Luca Zancato Alessandro Achille Tian Yu Liu Matthew Trager Pramuditha Perera Stefano Soatto TTA OOD 155 14 0 25 Mar 2023
TopoImb: Toward Topology-level Imbalance in Learning from GraphsLOG IN (LOG IN), 2022 Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 219 15 0 16 Dec 2022
Improving self-supervised representation learning via sequential adversarial masking Dylan Sam Min Bai Tristan McKinney Li Erran Li SSL 194 0 0 16 Dec 2022
Semi-supervised Vision Transformers at ScaleNeural Information Processing Systems (NeurIPS), 2022 Zhaowei Cai Avinash Ravichandran Paolo Favaro Manchen Wang Davide Modolo Rahul Bhotika Zhuowen Tu Stefano Soatto ViT 231 63 0 11 Aug 2022
Scaling Novel Object Detection with Weakly Supervised Detection TransformersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 T. LaBonte Ya-heng Song Xin Eric Wang Vibhav Vineet Neel Joshi ViT 156 11 0 11 Jul 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 158 7 0 10 Jun 2022
Three things everyone should know about Vision TransformersEuropean Conference on Computer Vision (ECCV), 2022 Hugo Touvron Matthieu Cord Alaaeldin El-Nouby Jakob Verbeek Edouard Grave ViT 211 147 0 18 Mar 2022
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi VLM 148 12 0 05 Nov 2021
Distributional Robustness Loss for Long-tail LearningIEEE International Conference on Computer Vision (ICCV), 2021 Dvir Samuel Gal Chechik OOD 229 113 0 07 Apr 2021
Incorporating Convolution Designs into Visual TransformersIEEE International Conference on Computer Vision (ICCV), 2021 Kun Yuan Shaopeng Guo Ziwei Liu Aojun Zhou F. Yu Wei Wu ViT 267 561 0 22 Mar 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural NetworksWeb Search and Data Mining (WSDM), 2021 Tianxiang Zhao Xiang Zhang Suhang Wang 214 398 0 16 Mar 2021
Size Matters Mats L. Richter Wolf Byttner U. Krumnack Ludwig Schallner Justin Shenk 99 1 0 02 Feb 2021
Grafit: Learning fine-grained image representations with coarse labelsIEEE International Conference on Computer Vision (ICCV), 2020 Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Edouard Grave SSL 143 72 0 25 Nov 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised LearningComputer Vision and Pattern Recognition (CVPR), 2020 Colorado Reed Sean L. Metzger A. Srinivas Trevor Darrell Kurt Keutzer SSL 209 52 0 16 Sep 2020
Coarse2Fine: A Two-stage Training Method for Fine-grained Visual ClassificationMachine Vision and Applications (MVA), 2019 Amir Erfan Eshratifar David Eigen Michael Gormish Massoud Pedram 119 12 0 06 Sep 2019
Action recognition with spatial-temporal discriminative filter banksIEEE International Conference on Computer Vision (ICCV), 2019 Brais Martínez Davide Modolo Yuanjun Xiong Joseph Tighe 150 68 0 20 Aug 2019
Toward Understanding Catastrophic Forgetting in Continual Learning Cuong V Nguyen Alessandro Achille Michael Lam Tal Hassner Vijay Mahadevan Stefano Soatto 201 108 0 02 Aug 2019
Fixing the train-test resolution discrepancyNeural Information Processing Systems (NeurIPS), 2019 Hugo Touvron Andrea Vedaldi Matthijs Douze Edouard Grave 362 458 0 14 Jun 2019
The Herbarium Challenge 2019 Dataset Kiat Chuan Tan Yulong Liu B. Ambrose Melissa C. Tulig Serge J. Belongie 155 71 0 12 Jun 2019
Pay Attention to Convolution Filters: Towards Fast and Accurate Fine-Grained Transfer Learning Xiangxi Mo Ruizhe Cheng Tianyi Fang 64 3 0 12 Jun 2019
Synthetic Examples Improve Generalization for Rare Classes Sara Beery Yang Liu Dan Morris Jim Piavis Ashish Kapoor M. Meister Neel Joshi Pietro Perona 217 104 0 11 Apr 2019
Integrating domain knowledge: using hierarchies to improve deep classifiersAsian Conference on Pattern Recognition (ACPR), 2018 C. Brust Joachim Denzler 168 40 0 17 Nov 2018
Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories Yaming Wang Xiao Tan Yi Yang Ziyu Li Xiao-Chang Liu Feng Zhou L. Davis 3DH 3DV 59 3 0 19 Oct 2018
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks Adrià Recasens Petr Kellnhofer Simon Stent Wojciech Matusik Antonio Torralba 154 143 0 10 Sep 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 328 971 0 13 Jul 2018
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming Sun Yuchen Yuan Feng Zhou Errui Ding 273 379 0 14 Jun 2018
Impostor Networks for Fast Fine-Grained Recognition V. Lebedev Artem Babenko Victor Lempitsky 105 3 0 13 Jun 2018
3D Pose Estimation for Fine-Grained Object Categories Yaming Wang Xiao Tan Yi Yang Xiao-Chang Liu Errui Ding Feng Zhou L. Davis 3DV 3DH 123 35 0 12 Jun 2018
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data Xi Yin Xiang Yu Kihyuk Sohn Xiaoming Liu Manmohan Chandraker CVBM 164 36 0 23 Mar 2018
Low-Shot Learning with Imprinted Weights Qi Matthew A. Brown D. Lowe VLM 279 12 0 19 Dec 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 524 2,633 0 15 Oct 2017