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. 2006.10408
  4. Cited By
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"

31 / 181 papers shown
Title
Classification Calibration for Long-tail Instance Segmentation
Classification Calibration for Long-tail Instance Segmentation
Tao Wang
Yu Li
Bingyi Kang
Junnan Li
Jun Hao Liew
Sheng Tang
Guosheng Lin
Jiashi Feng
ISeg
25
13
0
29 Oct 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
170
1,203
0
21 Oct 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Agrim Gupta
Piotr Dollár
Ross B. Girshick
ISeg
VLM
93
1,352
0
08 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
Qi Fan
Wei Zhuo
Chi-Keung Tang
Yu-Wing Tai
ObjD
129
527
0
06 Aug 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
97
1,583
0
18 Jun 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
126
2,845
0
17 Jun 2019
CenterNet: Keypoint Triplets for Object Detection
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan
S. Bai
Lingxi Xie
H. Qi
Qingming Huang
Q. Tian
NoLa
109
2,663
0
17 Apr 2019
Objects as Points
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
98
3,240
0
16 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
112
4,969
0
02 Apr 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement
  and Attentive Few-Shot Learning
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
Chi Zhang
Guosheng Lin
Fayao Liu
Rui Yao
Chunhua Shen
VLM
SSeg
61
540
0
06 Mar 2019
Bottom-up Object Detection by Grouping Extreme and Center Points
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou
Jiacheng Zhuo
Philipp Krahenbuhl
ObjD
97
861
0
23 Jan 2019
Hybrid Task Cascade for Instance Segmentation
Hybrid Task Cascade for Instance Segmentation
Kai-xiang Chen
Jiangmiao Pang
Jiaqi Wang
Yu Xiong
Xiaoxiao Li
...
Ziwei Liu
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
ISeg
123
1,298
0
22 Jan 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
161
2,253
0
16 Jan 2019
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjD
OffRL
79
694
0
05 Dec 2018
CornerNet: Detecting Objects as Paired Keypoints
CornerNet: Detecting Objects as Paired Keypoints
Hei Law
Jia Deng
ObjD
65
3,598
0
03 Aug 2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Chen Huang
Yining Li
Chen Change Loy
Xiaoou Tang
CVBM
45
310
0
01 Jun 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
173
1,362
0
02 May 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
98
21,306
0
08 Apr 2018
LSTD: A Low-Shot Transfer Detector for Object Detection
LSTD: A Low-Shot Transfer Detector for Object Detection
Hao Chen
Yali Wang
Guoyou Wang
Yu Qiao
ObjD
60
339
0
05 Mar 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
125
4,899
0
03 Dec 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
314
27,018
0
20 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
243
8,072
0
15 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
426
21,951
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
458
10,281
0
16 Nov 2016
Factors in Finetuning Deep Model for object detection
Factors in Finetuning Deep Model for object detection
Wanli Ouyang
Xiaogang Wang
Cong Zhang
Xiaokang Yang
45
189
0
20 Jan 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
60
290
0
18 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
170
29,646
0
08 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
425
61,900
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
284
24,976
0
30 Apr 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
338
43,290
0
01 May 2014
Previous
1234