v1v2 (latest)

Large-Scale Long-Tailed Recognition in an Open World

10 April 2019

Xiaohang Zhan

Papers citing "Large-Scale Long-Tailed Recognition in an Open World"

50 / 646 papers shown

Title
Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hai Nguyen Hongyang R. Zhang Huy Le Nguyen OOD 67 2 0 20 Apr 2022
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance Renhui Zhang Tiancheng Lin Rui Zhang Yi Xu 42 4 0 20 Apr 2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning Liang Xie Yibo Yang Deng Cai Xiaofei He 65 47 0 19 Apr 2022
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity Weiyao Wang Matt Feiszli Heng Wang Jitendra Malik Du Tran ISeg 83 50 0 12 Apr 2022
Few-shot Forgery Detection via Guided Adversarial Interpolation Haonan Qiu Siyu Chen Bei Gan Kunze Wang Huafeng Shi Jing Shao Ziwei Liu AAML 118 6 0 12 Apr 2022
Towards Open-Set Object Detection and Discovery Jiyang Zheng Weihao Li Jie Hong L. Petersson Nick Barnes ObjD 96 67 0 12 Apr 2022
Region Rebalance for Long-Tailed Semantic Segmentation Jiequan Cui Yuhui Yuan Zhisheng Zhong Zhuotao Tian Han Hu Stephen Lin Jiaya Jia 74 18 0 05 Apr 2022
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data Zixuan Ke Mohammad Kachuee Sungjin Lee 36 5 0 05 Apr 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 108 71 0 31 Mar 2022
Logit Normalization for Long-tail Object Detection Liang Zhao Yao Teng Limin Wang 91 11 0 31 Mar 2022
Unseen Classes at a Later Time? No Problem Hari Chandana Kuchibhotla Sumitra S Malagi Shivam Chandhok V. Balasubramanian CLL 87 10 0 30 Mar 2022
Balanced MSE for Imbalanced Visual Regression Jiawei Ren Mingyuan Zhang Cunjun Yu Ziwei Liu 100 121 0 30 Mar 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition Jun Li Zichang Tan Jun Wan Zhen Lei Guodong Guo 108 89 0 29 Mar 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 96 117 0 28 Mar 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-Xiong Wang Deva Ramanan Shu Kong MQ 100 147 0 27 Mar 2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Zeming Li Eric Lo Jian Sun Jiaya Jia SSL 108 5 0 22 Mar 2022
Online Continual Learning for Embedded Devices Tyler L. Hayes Christopher Kanan CLL 99 56 0 21 Mar 2022
Towards 3D Scene Understanding by Referring Synthetic Models Runnan Chen Xinge Zhu Nenglun Chen Dawei Wang Wei Li Yuexin Ma Ruigang Yang Wenping Wang 3DPC 113 6 0 20 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 73 18 0 18 Mar 2022
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond Yuzhe Yang Hao Wang Dina Katabi AI4CE 64 44 0 17 Mar 2022
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang Shixiang Chen Hefei Ling Liangru Xie Zhouchen Lin Dacheng Tao 107 83 0 17 Mar 2022
PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu Yunxu Xu Hao Li Zhanzhan Cheng Yi Niu 83 57 0 16 Mar 2022
Open Set Recognition using Vision Transformer with an Additional Detection Head Feiyang Cai Zhenkai Zhang Jie Liu X. Koutsoukos ViT 39 6 0 16 Mar 2022
Zipfian environments for Reinforcement Learning Stephanie C. Y. Chan Andrew Kyle Lampinen Pierre Harvey Richemond Felix Hill OffRL 132 15 0 15 Mar 2022
Can I see an Example? Active Learning the Long Tail of Attributes and Relations Tyler L. Hayes Maximilian Nickel Christopher Kanan Ludovic Denoyer Arthur Szlam VLM 73 3 0 11 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains Lei Fan Yiwen Ding Dongdong Fan Donglin Di Maurice Pagnucco Yang Song AI4TS 82 22 0 10 Mar 2022
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning Zhi Hou B. Yu Dacheng Tao ViT 166 64 0 03 Mar 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 84 2 0 28 Feb 2022
Taming the Long Tail of Deep Probabilistic Forecasting Jedrzej Kozerawski Mayank Sharan Rose Yu AI4TS 60 7 0 27 Feb 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition Alex Long Wei Yin Thalaiyasingam Ajanthan Vu-Linh Nguyen Pulak Purkait Ravi Garg Alan Blair Chunhua Shen Anton Van Den Hengel 70 114 0 22 Feb 2022
Cyclical Focal Loss L. Smith 87 14 0 16 Feb 2022
Balancing Domain Experts for Long-Tailed Camera-Trap Recognition Byeongjun Park Jeongsoo Kim Seungju Cho Heeseon Kim Changick Kim 80 2 0 15 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 96 34 0 11 Feb 2022
Towards an Analytical Definition of Sufficient Data Adam Byerly T. Kalganova 110 4 0 07 Feb 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 72 10 0 04 Feb 2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning Jie Zhang Lei Zhang Gang Li Chao Wu GAN AAML 107 10 0 28 Jan 2022
Constrained Structure Learning for Scene Graph Generation Daqing Liu M. Bober J. Kittler 3DV CML BDL OCL 114 7 0 27 Jan 2022
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting Zhao Chen Vincent Casser Henrik Kretzschmar Dragomir Anguelov 71 5 0 16 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 75 4 0 09 Jan 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance Yin-Yin He Peizhen Zhang Xiu-Shen Wei Xinming Zhang Jian Sun ISeg 120 26 0 08 Jan 2022
Extending One-Stage Detection with Open-World Proposals Sachin Konan Kevin J. Liang Li Yin ObjD 93 10 0 07 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang Zhi-Li Wu Long Lian Stella X. Yu 106 100 0 05 Jan 2022
Revisiting Open World Object Detection Xiaowei Zhao Xianglong Liu Yifan Shen Yixuan Qiao Yuqing Ma Duorui Wang 140 52 0 03 Jan 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data Shenwang Jiang Jianan Li Ying Wang Bo Huang Zhang Zhang Tingfa Xu NoLa 77 33 0 30 Dec 2021
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification Beier Zhu Yulei Niu Xiansheng Hua Hanwang Zhang 79 42 0 29 Dec 2021
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 120 27 0 16 Dec 2021
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Xiaohua Chen Yucan Zhou Dayan Wu Wanqian Zhang Yu Zhou Yue Liu Weiping Wang 68 54 0 15 Dec 2021
Margin Calibration for Long-Tailed Visual Recognition Yidong Wang Bowen Zhang Wenxin Hou Zhen Wu Jindong Wang T. Shinozaki MQ 110 27 0 14 Dec 2021
Long-tail Recognition via Compositional Knowledge Transfer Sarah Parisot P. Esperança Jingyu Sun T. Madarász Yongxin Yang Zhenguo Li 115 27 0 13 Dec 2021
You Only Need End-to-End Training for Long-Tailed Recognition Zhiwei Zhang 112 2 0 11 Dec 2021