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BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
v1v2v3v4 (latest)

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

5 December 2019
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
ArXiv (abs)PDFHTMLGithub (669★)

Papers citing "BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition"

18 / 368 papers shown
Title
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
198
458
0
28 Sep 2020
The Devil is the Classifier: Investigating Long Tail Relation
  Classification with Decoupling Analysis
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis
Haiyang Yu
Ningyu Zhang
Shumin Deng
Zonggang Yuan
Yantao Jia
Huajun Chen
99
15
0
15 Sep 2020
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data
  with Diversity In Memory
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory
Jialun Liu
Jingwei Zhang
Yi yang
Wenhui Li
Fangqiu Yi
Yifan Sun
112
43
0
22 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
109
75
0
13 Aug 2020
Feature Space Augmentation for Long-Tailed Data
Feature Space Augmentation for Long-Tailed Data
Peng Chu
Xiao Bian
Shaopeng Liu
Haibin Ling
163
251
0
09 Aug 2020
Meta Feature Modulator for Long-tailed Recognition
Meta Feature Modulator for Long-tailed Recognition
Renzhen Wang
Kaiqin Hu
Yanwen Zhu
Jun Shu
Qian Zhao
Deyu Meng
114
12
0
08 Aug 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
286
606
0
21 Jul 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed
  Datasets
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Tong Wu
Qingqiu Huang
Ziwei Liu
Yu Wang
Dahua Lin
124
235
0
19 Jul 2020
Remix: Rebalanced Mixup
Remix: Rebalanced Mixup
Hsin-Ping Chou
Shih-Chieh Chang
Jia-Yu Pan
Wei Wei
Da-Cheng Juan
168
252
0
08 Jul 2020
Heteroskedastic and Imbalanced Deep Learning with Adaptive
  Regularization
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Kaidi Cao
Yining Chen
Junwei Lu
Nikos Arechiga
Adrien Gaidon
Tengyu Ma
111
70
0
29 Jun 2020
ELF: An Early-Exiting Framework for Long-Tailed Classification
ELF: An Early-Exiting Framework for Long-Tailed Classification
Rahul Duggal
Scott Freitas
Sunny Dhamnani
Duen Horng Chau
Jimeng Sun
148
30
0
22 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
228
433
0
13 Jun 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with
  Efficient Method
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method
Jian Jia
Houjing Huang
Wenjie Yang
Xiaotang Chen
Kaiqi Huang
120
46
0
25 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
88
312
0
06 May 2020
Incremental Few-Shot Object Detection for Robotics
Incremental Few-Shot Object Detection for Robotics
Yiting Li
H. Zhu
Sichao Tian
Fan Feng
Jun Ma
C. Teo
Cheng Xiang
P. Vadakkepat
T. Lee
ObjDCLL
116
12
0
06 May 2020
No Routing Needed Between Capsules
No Routing Needed Between Capsules
Adam Byerly
T. Kalganova
I. Dear
159
70
0
24 Jan 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
212
108
0
06 Jan 2020
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot
  Learning
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
157
60
0
07 Jun 2019
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