The Devil is in the Tails: Fine-grained Classification in the Wild

5 September 2017

Papers citing "The Devil is in the Tails: Fine-grained Classification in the Wild"

50 / 122 papers shown

Title
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation Wenbin Zhu Chien-Yi Wang Kuan-Lun Tseng S. Lai Baoyuan Wang CVBM 6 9 0 27 Mar 2022
Evaluating Distributional Distortion in Neural Language Modeling Benjamin LeBrun Alessandro Sordoni Timothy J. O'Donnell 9 22 0 24 Mar 2022
Do Deep Networks Transfer Invariances Across Classes? Allan Zhou Fahim Tajwar Alexander Robey Tom Knowles George J. Pappas Hamed Hassani Chelsea Finn OOD 26 18 0 18 Mar 2022
Towards an Analytical Definition of Sufficient Data Adam Byerly T. Kalganova 17 4 0 07 Feb 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models Mannat Singh Laura Gustafson Aaron B. Adcock Vinicius de Freitas Reis B. Gedik Raj Prateek Kosaraju D. Mahajan Ross B. Girshick Piotr Dollár L. V. D. van der Maaten VLM 32 122 0 20 Jan 2022
Margin Calibration for Long-Tailed Visual Recognition Yidong Wang Bowen Zhang Wenxin Hou Zhen Wu Jindong Wang T. Shinozaki MQ 8 27 0 14 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan Dengxin Dai Anna Kukleva Bernt Schiele 16 43 0 08 Dec 2021
Trustworthy Long-Tailed Classification Bolian Li Zongbo Han Haining Li H. Fu Changqing Zhang EDL 25 71 0 17 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 57 52 0 06 Nov 2021
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 27 24 0 29 Oct 2021
Domain Adaptation for Rare Classes Augmented with Synthetic Samples Tuhinanksu Das Robert-Jan Bruintjes A. Lengyel J. C. V. Gemert S. Rodrigues 19 5 0 23 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models A. S. Rawat Manzil Zaheer A. Menon Amr Ahmed Sanjiv Kumar 17 7 0 19 Oct 2021
Tackling the Imbalance for GNNs Rui Wang Weixuan Xiong Qing-Hu Hou Ou Wu 44 6 0 17 Oct 2021
Metadata Shaping: Natural Language Annotations for the Tail Simran Arora Sen Wu Enci Liu Christopher Ré 17 0 0 16 Oct 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 68 26 0 19 Sep 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 29 16 0 28 Jul 2021
Copula-Based Normalizing Flows M. Laszkiewicz Johannes Lederer Asja Fischer 27 7 0 15 Jul 2021
Training Over-parameterized Models with Non-decomposable Objectives Harikrishna Narasimhan A. Menon 23 12 0 09 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 24 55 0 07 Jul 2021
Species Distribution Modeling for Machine Learning Practitioners: A Review Sara Beery Elijah Cole Joseph Parker Pietro Perona Kevin Winner 16 69 0 03 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
Image-to-Image Translation of Synthetic Samples for Rare Classes Edoardo Lanzini Sara Beery 14 2 0 23 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 11 25 0 19 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 19 31 0 09 Jun 2021
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions Yixuan Li Lei Chen Runyu He Zhenzhi Wang Gangshan Wu Limin Wang 19 97 0 16 May 2021
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces A. S. Rawat A. Menon Wittawat Jitkrittum Sadeep Jayasumana Felix X. Yu Sashank J. Reddi Sanjiv Kumar 34 9 0 12 May 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 43 57 0 21 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 8 31 0 05 Apr 2021
A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data Namgil Lee Heejung Yang Hojin Yoo 16 8 0 03 Apr 2021
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 12 3 0 26 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 17 6 0 09 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 6 230 0 01 Dec 2020
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection Rui Dai Srijan Das Saurav Sharma Luca Minciullo Lorenzo Garattoni F. Brémond Gianpiero Francesca 13 50 0 28 Oct 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 14 101 0 08 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi Fait Poms W. Mark Deva Ramanan Kayvon Fatahalian VLM 24 9 0 28 Aug 2020
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory Jialun Liu Jingwei Zhang Yi yang Wenhui Li Chi Zhang Yifan Sun 12 39 0 22 Aug 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 16 440 0 09 Aug 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 17 228 0 19 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 683 0 14 Jul 2020
Remix: Rebalanced Mixup Hsin-Ping Chou Shih-Chieh Chang Jia-Yu Pan Wei Wei Da-Cheng Juan 34 231 0 08 Jul 2020
Similarity Search for Efficient Active Learning and Search of Rare Concepts Cody Coleman Edward Chou Julian Katz-Samuels Sean Culatana Peter Bailis Alexander C. Berg Robert Nowak Roshan Sumbaly Matei A. Zaharia I. Z. Yalniz 36 42 0 30 Jun 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang D. Shen 20 312 0 06 May 2020
From Generalized zero-shot learning to long-tail with class descriptors Dvir Samuel Y. Atzmon Gal Chechik VLM 16 1 0 05 Apr 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 9 198 0 18 Mar 2020
Incremental Meta-Learning via Indirect Discriminant Alignment Qing Liu Orchid Majumder Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto CLL 8 6 0 11 Feb 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification Bennet Breier A. Onken 16 4 0 20 Dec 2019
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 22 105 0 20 Dec 2019
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 245 782 0 05 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra L. V. D. van der Maaten SSL VLM 14 1,445 0 04 Dec 2019