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Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

18 June 2020
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
ArXivPDFHTML

Papers citing "Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax"

50 / 150 papers shown
Title
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior
  Perspective
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu
Zenghao Chai
Chun Yuan
59
52
0
06 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
14
15
0
30 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu
Fangyun Wei
Han Hu
Qiwei Ye
J. Cui
Liwei Wang
12
153
0
11 Oct 2021
Deep Long-Tailed Learning: A Survey
Deep Long-Tailed Learning: A Survey
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
18
558
0
09 Oct 2021
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee
Myunggi Lee
Nojun Kwak
ObjD
25
29
0
16 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
Self Supervision to Distillation for Long-Tailed Visual Recognition
Tianhao Li
Limin Wang
Gangshan Wu
45
101
0
09 Sep 2021
Towards Balanced Learning for Instance Recognition
Towards Balanced Learning for Instance Recognition
Jiangmiao Pang
Kai-xiang Chen
Qi Li
Zhi-hai Xu
H. Feng
Jianping Shi
Wanli Ouyang
Dahua Lin
ObjD
24
22
0
23 Aug 2021
Exploring Classification Equilibrium in Long-Tailed Object Detection
Exploring Classification Equilibrium in Long-Tailed Object Detection
Chengjian Feng
Yujie Zhong
Weilin Huang
13
92
0
17 Aug 2021
Rank & Sort Loss for Object Detection and Instance Segmentation
Rank & Sort Loss for Object Detection and Instance Segmentation
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
27
42
0
24 Jul 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic
  Long-Tailed Recognition
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
Yifan Zhang
Bryan Hooi
Lanqing Hong
Jiashi Feng
17
126
0
20 Jul 2021
Deep Learning for Micro-expression Recognition: A Survey
Deep Learning for Micro-expression Recognition: A Survey
Yante Li
Jinsheng Wei
Yang Liu
Janne Kauttonen
Guoying Zhao
32
61
0
06 Jul 2021
Predicate correlation learning for scene graph generation
Predicate correlation learning for scene graph generation
Lei Tao
Li Mi
Nannan Li
Xianhang Cheng
Yaosi Hu
Zhenzhong Chen
37
17
0
06 Jul 2021
On Model Calibration for Long-Tailed Object Detection and Instance
  Segmentation
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan
Cheng Zhang
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
24
45
0
05 Jul 2021
Web-Scale Generic Object Detection at Microsoft Bing
Web-Scale Generic Object Detection at Microsoft Bing
S. Chen
Saurajit Mukherjee
Unmesh Phadke
Tingting Wang
Junwon Park
Ravi Theja Yada
ObjD
VLM
11
0
0
05 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image
  Classification
On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
FedML
22
21
0
02 Jul 2021
Weakly Supervised Temporal Adjacent Network for Language Grounding
Weakly Supervised Temporal Adjacent Network for Language Grounding
Yuechen Wang
Jiajun Deng
Wen-gang Zhou
Houqiang Li
24
67
0
30 Jun 2021
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group
  and Activity Detection
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
Mahsa Ehsanpour
F. Saleh
Silvio Savarese
Ian Reid
Hamid Rezatofighi
22
42
0
16 Jun 2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Mingyuan Mao
Baochang Zhang
David Doermann
Jie Guo
Shumin Han
Yuan Feng
Xiaodi Wang
Errui Ding
11
2
0
07 May 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic
  Space
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang
Yixuan Li
OODD
31
235
0
05 May 2021
Balanced Knowledge Distillation for Long-tailed Learning
Balanced Knowledge Distillation for Long-tailed Learning
Shaoyu Zhang
Chen Chen
Xiyuan Hu
Silong Peng
43
57
0
21 Apr 2021
Deep Stable Learning for Out-Of-Distribution Generalization
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang
Peng Cui
Renzhe Xu
Linjun Zhou
Yue He
Zheyan Shen
OOD
21
250
0
16 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for
  Long-Tailed Detection
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Nadine Chang
Zhiding Yu
Yu-xiong Wang
Anima Anandkumar
Sanja Fidler
J. Álvarez
28
37
0
12 Apr 2021
Class-Balanced Distillation for Long-Tailed Visual Recognition
Class-Balanced Distillation for Long-Tailed Visual Recognition
Ahmet Iscen
A. Araújo
Boqing Gong
Cordelia Schmid
13
36
0
12 Apr 2021
Visual Alignment Constraint for Continuous Sign Language Recognition
Visual Alignment Constraint for Continuous Sign Language Recognition
Yuecong Min
Aiming Hao
Xiujuan Chai
Xilin Chen
SLR
20
128
0
06 Apr 2021
Procrustean Training for Imbalanced Deep Learning
Procrustean Training for Imbalanced Deep Learning
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
16
31
0
05 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
17
109
0
02 Apr 2021
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene
  Graph Generation
Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
Rongjie Li
Songyang Zhang
Bo Wan
Xuming He
185
214
0
01 Apr 2021
Dogfight: Detecting Drones from Drones Videos
Dogfight: Detecting Drones from Drones Videos
M. W. Ashraf
Waqas Sultani
M. Shah
15
55
0
31 Mar 2021
Input-Output Balanced Framework for Long-tailed LiDAR Semantic
  Segmentation
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation
Peishan Cong
Xinge Zhu
Yuexin Ma
16
9
0
26 Mar 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic
  Actors
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Osama Makansi
Özgün Çiçek
Yassine Marrakchi
Thomas Brox
29
46
0
23 Mar 2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed
  Instance Segmentation
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
Yuhang Zang
Chen Huang
Chen Change Loy
19
112
0
25 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Zijian He
Chia-Wen Kuo
Kan Chen
Peizhao Zhang
Bichen Wu
Z. Kira
Peter Vajda
48
473
0
18 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for
  Long-Tailed Object Detection
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
Cheng Zhang
Tai-Yu Pan
Yandong Li
Hexiang Hu
D. Xuan
Soravit Changpinyo
Boqing Gong
Wei-Lun Chao
ObjD
VLM
69
39
0
17 Feb 2021
Robustness in Compressed Neural Networks for Object Detection
Robustness in Compressed Neural Networks for Object Detection
Sebastian Cygert
A. Czyżewski
21
8
0
10 Feb 2021
Evaluating Large-Vocabulary Object Detectors: The Devil is in the
  Details
Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
Achal Dave
Piotr Dollár
Deva Ramanan
A. Kirillov
Ross B. Girshick
ObjD
VLM
6
52
0
01 Feb 2021
1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for
  Tracking
1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking
Fei Du
Boao Xu
Jiasheng Tang
Yuqi Zhang
F. Wang
Hao Li
17
18
0
20 Jan 2021
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free
  Object Detection
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
Hopyong Gil
Sangwook Park
Yusang Park
Wongoo Han
Juyean Hong
Juneyoung Jung
ObjD
22
1
0
26 Dec 2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed
  Object Detection
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Jingru Tan
Xin Lu
Gang Zhang
Changqing Yin
Quanquan Li
VLM
19
167
0
15 Dec 2020
Robots Understanding Contextual Information in Human-Centered
  Environments using Weakly Supervised Mask Data Distillation
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation
Daniel Dworakowski
G. Nejat
11
4
0
15 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
237
968
0
13 Dec 2020
Towards Resolving the Challenge of Long-tail Distribution in UAV Images
  for Object Detection
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu
Taojiannan Yang
C. L. P. Chen
25
90
0
07 Nov 2020
Semantic Change Detection with Asymmetric Siamese Networks
Semantic Change Detection with Asymmetric Siamese Networks
Kunping Yang
Gui-Song Xia
Zicheng Liu
Bo Du
Wen Yang
Marcello Pelillo
Liangpei Zhang
50
33
0
12 Oct 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad
  Momentum Causal Effect
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang
Jianqiang Huang
Hanwang Zhang
CML
9
434
0
28 Sep 2020
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee
  of a Good Mask
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask
Jingru Tan
Gang Zhang
Hanming Deng
Changbao Wang
Lewei Lu
Quanquan Li
Jifeng Dai
21
18
0
03 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background
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
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
10
233
0
23 Aug 2020
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance
  Segmentation
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Jialian Wu
Liangchen Song
Tiancai Wang
Qian Zhang
Junsong Yuan
ObjD
21
72
0
13 Aug 2020
The Devil is in Classification: A Simple Framework for Long-tail Object
  Detection and Instance Segmentation
The Devil is in Classification: A Simple Framework for Long-tail Object Detection and Instance Segmentation
Tao Wang
Yu Li
Bingyi Kang
Junnan Li
Jun Hao Liew
Sheng Tang
S. Hoi
Jiashi Feng
ISeg
14
176
0
23 Jul 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep
  Learning
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
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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