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
Decoupled Training for Long-Tailed Classification With Stochastic Representations G. Nam Sunguk Jang Juho Lee OOD BDL OODD 66 14 0 19 Apr 2023
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation Thanh-Dat Truong C. Duong Pierce Helton Ashley Dowling Xin Li Khoa Luu 68 1 0 14 Apr 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 69 15 0 13 Apr 2023
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs Harsh Rangwani Lavish Bansal Kartik Sharma Tejan Karmali Varun Jampani R. Venkatesh Babu 74 15 0 12 Apr 2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data Ahmet Iscen Alireza Fathi Cordelia Schmid VLM 3DV 83 26 0 11 Apr 2023
Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning Wenxiang Xu Lin Chen Linyun Zhou Jie Lei Lechao Cheng Zunlei Feng Min-Gyoo Song 77 1 0 09 Apr 2023
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding Thanh-Dat Truong Ngan Le Bhiksha Raj J. Cothren Khoa Luu 106 25 0 04 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning Yidong Wang Zhuohao Yu Jindong Wang Qiang Heng Haoxing Chen Wei Ye Rui Xie Xingxu Xie Shi-Bo Zhang VLM 107 33 0 04 Apr 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Yang Jin Mengke Li Yang Lu Y. Cheung Hanzi Wang 97 26 0 03 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 100 17 0 03 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 146 13 0 31 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data Anna Kukleva Moritz Bohle Bernt Schiele Hilde Kuehne Christian Rupprecht 94 45 0 23 Mar 2023
SIESTA: Efficient Online Continual Learning with Sleep Md Yousuf Harun Jhair Gallardo Tyler L. Hayes Ronald Kemker Christopher Kanan CLL 119 21 0 19 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 91 1 0 10 Mar 2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation Minghui Zhang Yang Wu Hanxiao Zhang Yulei Qin Hao Zheng ... Raúl San José Estépar C. Espinosa Jiayuan Sun Guang-Zhong Yang Yun Gu 73 12 0 10 Mar 2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision Tarun Kalluri Weiyao Wang Heng Wang Manmohan Chandraker Lorenzo Torresani Du Tran 96 7 0 09 Mar 2023
A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery M. Akbari Ali Mohades M. H. Shirali-Shahreza VLM 83 3 0 07 Mar 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning Yingxiao Du Jianxin Wu 104 16 0 07 Mar 2023
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications? Ou Zheng Mohamed Abdel-Aty Dongdong Wang Zijin Wang Shengxuan Ding LM&MA 82 15 0 06 Mar 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 65 1 0 03 Mar 2023
Improving GAN Training via Feature Space Shrinkage Haozhe Liu Wentian Zhang Bing Li Haoqian Wu Nanjun He Yawen Huang Yuexiang Li Guohao Li Yefeng Zheng GAN 62 6 0 02 Mar 2023
Rethink Long-tailed Recognition with Vision Transformers Zhengzhuo Xu Shuo Yang Xingjun Wang Chun Yuan 92 4 0 28 Feb 2023
Inducing Neural Collapse in Deep Long-tailed Learning Xuantong Liu Jianfeng Zhang Tianyang Hu He Cao Lujia Pan Yuan Yao 73 31 0 24 Feb 2023
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities Hexiang Hu Yi Luan Yang Chen Urvashi Khandelwal Mandar Joshi Kenton Lee Kristina Toutanova Ming-Wei Chang VLM 136 61 0 22 Feb 2023
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset Jiexing Qi Shuhao Li Zhixin Guo Yusheng Huang Cheng Zhou Weinan Zhang Xinbing Wang Zhouhan Lin VLM 45 0 0 19 Feb 2023
Mutual Exclusive Modulator for Long-Tailed Recognition Haixu Long Xiaolin Zhang Yanbin Liu Zongtai Luo Jianbo Liu 65 2 0 19 Feb 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning Guoqiang Liang Zhaojie Chen Zhaoqiang Chen Shiyu Ji Yanning Zhang CLL 83 11 0 16 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 142 31 0 10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing Feng Hong Jiangchao Yao Zhihan Zhou Ya Zhang Yanfeng Wang 71 27 0 10 Feb 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition Jun Cen Di Luan Shiwei Zhang Yixuan Pei Yingya Zhang Deli Zhao Shaojie Shen Qifeng Chen 74 20 0 08 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 93 1 0 07 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 102 3 0 06 Feb 2023
ResMem: Learn what you can and memorize the rest Zitong Yang Michal Lukasik Vaishnavh Nagarajan Zong-xiao Li A. S. Rawat Manzil Zaheer A. Menon Surinder Kumar VLM 92 8 0 03 Feb 2023
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics Chaowei Fang Dingwen Zhang Wen Zheng Xue Li Le Yang Lechao Cheng Junwei Han VLM 94 4 0 03 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 130 13 0 01 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 71 0 0 31 Jan 2023
DELTA: degradation-free fully test-time adaptation Bowen Zhao Chen Chen Shutao Xia TTA 173 62 0 30 Jan 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 107 26 0 29 Jan 2023
Improving Deep Regression with Ordinal Entropy Shihao Zhang Linlin Yang Michael Bi Mi Xiaoxu Zheng Angela Yao UQCV 110 46 0 21 Jan 2023
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy Erik Isai Valle Salgado Haoxin Yan Yue Hong Peiyuan Zhu Shidong Zhu ... Yanxiang Wen Xiu Li Xiaolin Qian Xiaohao Wang Xinghui Li 23 0 0 14 Jan 2023
Effective Decision Boundary Learning for Class Incremental Learning Chaoyue Ding Kunchi Li Jun Wan Shan Yu CLL 64 1 0 12 Jan 2023
On the challenges to learn from Natural Data Streams Guido Borghi G. Graffieti Davide Maltoni 42 2 0 09 Jan 2023
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions Otto Brookes Majid Mirmehdi H. Kühl T. Burghardt 89 15 0 06 Jan 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi Xinming Zhang Jiaya Jia 224 52 0 03 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 79 31 0 28 Dec 2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection Sanghyun Woo Kwanyong Park Seoung Wug Oh In So Kweon Joon-Young Lee VLM VOS 74 6 0 20 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 81 9 0 16 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh Chawla 86 1 0 15 Dec 2022
EM-Paste: EM-guided Cut-Paste with DALL-E Augmentation for Image-level Weakly Supervised Instance Segmentation Yunhao Ge Lyne Tchapmi Brian Nlong Zhao Laurent Itti Vibhav Vineet DiffM 77 5 0 15 Dec 2022
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 105 36 0 05 Dec 2022