Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation

24 March 2025

Zhanzhong Pang

Fadime Sener

Shrinivas Ramasubramanian

Angela Yao

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Papers citing "Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation"

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Title
Context-Enhanced Memory-Refined Transformer for Online Action Detection Zhanzhong Pang Fadime Sener Angela Yao OffRL 125 2 0 24 Mar 2025
Activity Grammars for Temporal Action Segmentation Dayoung Gong Joonseok Lee Deunsol Jung Suha Kwak Minsu Cho 103 8 0 07 Dec 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics Harsh Rangwani Shrinivas Ramasubramanian S. Takemori Kato Takashi Yuhei Umeda Venkatesh Babu Radhakrishnan 98 4 0 28 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 95 17 0 03 Apr 2023
Diffusion Action Segmentation Dao-jun Liu Qiyue Li A. Dinh Ting Jiang Mubarak Shah Chan Xu VGen DiffM 116 73 0 31 Mar 2023
Temporal Action Segmentation: An Analysis of Modern Techniques Guodong Ding Fadime Sener Angela Yao 188 80 0 19 Oct 2022
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation Nadine Behrmann S. Golestaneh Zico Kolter Juergen Gall M. Noroozi 104 75 0 01 Sep 2022
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities Fadime Sener Dibyadip Chatterjee Daniel Shelepov Kun He Dipika Singhania Robert Y. Wang Angela Yao VGen 100 221 0 28 Mar 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
ASFormer: Transformer for Action Segmentation Fangqiu Yi Hongyu Wen Tingting Jiang ViT 137 176 0 16 Oct 2021
Training Over-parameterized Models with Non-decomposable Objectives Harikrishna Narasimhan A. Menon 73 13 0 09 Jul 2021
Coarse to Fine Multi-Resolution Temporal Convolutional Network Dipika Singhania R. Rahaman Angela Yao AI4TS 83 55 0 23 May 2021
VideoLT: Large-scale Long-tailed Video Recognition Xing Zhang Zuxuan Wu Zejia Weng Huazhu Fu Jingjing Chen Yu-Gang Jiang Larry S. Davis 112 42 0 06 May 2021
Multiscale Vision Transformers Haoqi Fan Bo Xiong K. Mangalam Yanghao Li Zhicheng Yan Jitendra Malik Christoph Feichtenhofer ViT 137 1,273 0 22 Apr 2021
DropLoss for Long-Tail Instance Segmentation Ting-I Hsieh Esther Robb Hwann-Tzong Chen Jia-Bin Huang 65 50 0 13 Apr 2021
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition Yan Zhao Weicong Chen Xu Tan Kai Huang Jihong Zhu 77 59 0 13 Apr 2021
Distributional Robustness Loss for Long-tail Learning Dvir Samuel Gal Chechik OOD 111 100 0 07 Apr 2021
Adaptive Class Suppression Loss for Long-Tail Object Detection Tong Wang Yousong Zhu Chaoyang Zhao Wei Zeng Jinqiao Wang Ming Tang 65 112 0 02 Apr 2021
Global2Local: Efficient Structure Search for Video Action Segmentation Shanghua Gao Qi Han Zhong-Yu Li Pai Peng Liang Wang Ming-Ming Cheng EgoV 145 74 0 04 Jan 2021
Seesaw Loss for Long-Tailed Instance Segmentation Jiaqi Wang Wenwei Zhang Yuhang Zang Yuhang Cao Jiangmiao Pang Tao Gong Kai-xiang Chen Ziwei Liu Chen Change Loy Dahua Lin 118 240 0 23 Aug 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 132 714 0 14 Jul 2020
Alleviating Over-segmentation Errors by Detecting Action Boundaries Yuchi Ishikawa Seito Kasai Y. Aoki Hirokatsu Kataoka 74 139 0 14 Jul 2020
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax Yu Li Tao Wang Bingyi Kang Sheng Tang Chunfeng Wang Jintao Li Jiashi Feng 166 267 0 18 Jun 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 329 466 0 11 Mar 2020
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions Junjie Zhang Lingqiao Liu Peng Wang Chunhua Shen 68 25 0 10 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 153 76 0 04 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 184 1,225 0 21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 139 1,617 0 18 Jun 2019
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation Yazan Abu Farha Juergen Gall 90 671 0 05 Mar 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 202 2,299 0 16 Jan 2019
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 151 467 0 08 Dec 2018
TSM: Temporal Shift Module for Efficient Video Understanding Ji Lin Chuang Gan Song Han 108 1,698 0 20 Nov 2018
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals Andrew Cotter Heinrich Jiang S. Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan 93 158 0 11 Sep 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 156 1,433 0 24 Mar 2018
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 258 2,390 0 15 Oct 2017
Robust Optimization for Non-Convex Objectives Robert S. Chen Brendan Lucier Yaron Singer Vasilis Syrgkanis 84 121 0 04 Jul 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 310 8,068 0 22 May 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 309 8,194 0 15 Mar 2017
Temporal Convolutional Networks for Action Segmentation and Detection Colin S. Lea Michael D. Flynn René Vidal A. Reiter Gregory Hager 119 1,504 0 16 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 173 1,461 0 13 Sep 2016
Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data Guillem Collell D. Prelec K. Patil 67 44 0 28 Jun 2016
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks Li Shen Zhouchen Lin Qingming Huang 92 292 0 18 Dec 2015