ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2503.18358
  4. Cited By
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation

Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation

24 March 2025
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
ArXiv (abs)PDFHTML

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

42 / 42 papers shown
Title
Context-Enhanced Memory-Refined Transformer for Online Action Detection
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
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
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
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
Diffusion Action Segmentation
Dao-jun Liu
Qiyue Li
A. Dinh
Ting Jiang
Mubarak Shah
Chan Xu
VGenDiffM
116
73
0
31 Mar 2023
Temporal Action Segmentation: An Analysis of Modern Techniques
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OODNoLa
156
1,433
0
24 Mar 2018
A systematic study of the class imbalance problem in convolutional
  neural networks
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
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
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
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
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
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
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
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen
Zhouchen Lin
Qingming Huang
92
292
0
18 Dec 2015
1