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"

50 / 150 papers shown
Title
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
F. Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
36
5
0
22 Mar 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot
  Object Detection
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
Jiawei Ma
Yulei Niu
Jincheng Xu
Shiyuan Huang
G. Han
Shih-Fu Chang
ObjD
19
36
0
16 Mar 2023
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for
  Intelligent Traffic Safety Research and Applications?
ChatGPT is on the Horizon: Could a Large Language Model be Suitable for Intelligent Traffic Safety Research and Applications?
Ou Zheng
Mohamed Abdel-Aty
Dongdong Wang
Zijin Wang
Shengxuan Ding
LM&MA
27
14
0
06 Mar 2023
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for
  Autonomous Driving
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving
Jiawei Liu
Xingping Dong
Sanyuan Zhao
Jianbing Shen
3DPC
19
8
0
08 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model
  for Noisy Labels and Long-tailed Learning
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning
Sunyi Chi
B. Dong
Yiming Xu
Zhenyu Shi
Zheng Du
NoLa
31
3
0
06 Feb 2023
Long-tail Detection with Effective Class-Margins
Long-tail Detection with Effective Class-Margins
Jang Hyun Cho
Philipp Krahenbuhl
33
17
0
23 Jan 2023
Towards Spatial Equilibrium Object Detection
Towards Spatial Equilibrium Object Detection
Zhaohui Zheng
Yuming Chen
Qibin Hou
Xiang Li
Ming-Ming Cheng
ObjD
20
0
0
14 Jan 2023
Bridging Images and Videos: A Simple Learning Framework for Large
  Vocabulary Video Object Detection
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Sanghyun Woo
Kwanyong Park
Seoung Wug Oh
In So Kweon
Joon-Young Lee
VLM
VOS
22
6
0
20 Dec 2022
Leveraging Angular Information Between Feature and Classifier for
  Long-tailed Learning: A Prediction Reformulation Approach
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach
Haoxu Wang
Junchi Yan
21
1
0
03 Dec 2022
Towards Long-Tailed 3D Detection
Towards Long-Tailed 3D Detection
Neehar Peri
Achal Dave
Deva Ramanan
Shu Kong
3DPC
14
20
0
16 Nov 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example
  Mining
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
C. Jiang
Mahyar Najibi
C. Qi
Yin Zhou
Drago Anguelov
21
20
0
15 Oct 2022
Improving Long-tailed Object Detection with Image-Level Supervision by
  Multi-Task Collaborative Learning
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Bo-wen Li
Yongqiang Yao
Jingru Tan
Xin Lu
F. Yu
Ye Luo
Jianwei Lu
VLM
30
0
0
11 Oct 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
Jingru Tan
Bo-wen Li
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
39
8
0
11 Oct 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang
Mingxuan Xia
Yixuan Li
Yuren Mao
Lei Feng
Gang Chen
J. Zhao
48
38
0
21 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
40
9
0
11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed
  Recognition
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha
Hiroki Ohashi
11
6
0
07 Sep 2022
Addressing Class Imbalance in Semi-supervised Image Segmentation: A
  Study on Cardiac MRI
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI
Hritam Basak
Sagnik Ghosal
R. Sarkar
16
28
0
31 Aug 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
  Coefficient for Long-tailed Learning
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
30
17
0
22 Aug 2022
Sample hardness based gradient loss for long-tailed cervical cell
  detection
Sample hardness based gradient loss for long-tailed cervical cell detection
Minmin Liu
Xuechen Li
Xiang Gao
Junliang Chen
Linlin Shen
Huisi Wu
MedIm
19
4
0
07 Aug 2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Saptarshi Sinha
Hiroki Ohashi
Katsuyuki Nakamura
10
30
0
29 Jul 2022
Tracking Every Thing in the Wild
Tracking Every Thing in the Wild
Siyuan Li
Martin Danelljan
Henghui Ding
Thomas E. Huang
F. I. F. Richard Yu
23
40
0
26 Jul 2022
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shang Luo
27
22
0
22 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification
Invariant Feature Learning for Generalized Long-Tailed Classification
Kaihua Tang
Mingyuan Tao
Jiaxin Qi
Zhenguang Liu
Hanwang Zhang
VLM
24
52
0
19 Jul 2022
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples
Chen Liu
Xiaomeng Dong
Michael Potter
Hsi-Ming Chang
Ravi Soni
11
2
0
15 Jul 2022
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation
Xinyu Lyu
Lianli Gao
Pengpeng Zeng
Hengtao Shen
Jingkuan Song
29
18
0
11 Jul 2022
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation
  for Long-Tailed Visual Recognition
DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
J. Baik
In Young Yoon
J. Choi
10
10
0
05 Jul 2022
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in
  Camera-Trap Images
Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images
Fagner Cunha
E. M. Santos
J. Colonna
23
14
0
24 Jun 2022
Open Vocabulary Object Detection with Proposal Mining and Prediction
  Equalization
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization
Peixian Chen
Kekai Sheng
Mengdan Zhang
Mingbao Lin
Yunhang Shen
Shaohui Lin
Bo Ren
Ke Li
VLM
ObjD
34
27
0
22 Jun 2022
Going Deeper than Tracking: a Survey of Computer-Vision Based
  Recognition of Animal Pain and Affective States
Going Deeper than Tracking: a Survey of Computer-Vision Based Recognition of Animal Pain and Affective States
Sofia Broomé
Marcelo Feighelstein
Anna Zamansky
Gabriel Carreira Lencioni
P. Andersen
Francisca Pessanha
M. Mahmoud
Hedvig Kjellström
A. A. Salah
33
11
0
16 Jun 2022
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to
  Better Classify Objects in Videos
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos
Sukjun Hwang
Miran Heo
Seoung Wug Oh
Seon Joo Kim
VOT
22
6
0
05 Jun 2022
A Survey on Long-Tailed Visual Recognition
A Survey on Long-Tailed Visual Recognition
Lu Yang
He Jiang
Q. Song
Jun Guo
11
123
0
27 May 2022
Traffic Context Aware Data Augmentation for Rare Object Detection in
  Autonomous Driving
Traffic Context Aware Data Augmentation for Rare Object Detection in Autonomous Driving
Na Li
Fan Song
Ying Zhang
Pengpeng Liang
Erkang Cheng
9
5
0
01 May 2022
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Dávid Rozenberszki
Or Litany
Angela Dai
3DV
VLM
10
183
0
16 Apr 2022
Region Rebalance for Long-Tailed Semantic Segmentation
Region Rebalance for Long-Tailed Semantic Segmentation
Jiequan Cui
Yuhui Yuan
Zhisheng Zhong
Zhuotao Tian
Han Hu
Stephen Lin
Jiaya Jia
18
18
0
05 Apr 2022
Logit Normalization for Long-tail Object Detection
Logit Normalization for Long-tail Object Detection
Liang Zhao
Yao Teng
Limin Wang
26
10
0
31 Mar 2022
Nested Collaborative Learning for Long-Tailed Visual Recognition
Nested Collaborative Learning for Long-Tailed Visual Recognition
Jun Li
Zichang Tan
Jun Wan
Zhen Lei
Guodong Guo
34
85
0
29 Mar 2022
Learning to Prompt for Open-Vocabulary Object Detection with
  Vision-Language Model
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du
Fangyun Wei
Zihe Zhang
Miaojing Shi
Yue Gao
Guoqi Li
VPVLM
VLM
9
322
0
28 Mar 2022
BigDetection: A Large-scale Benchmark for Improved Object Detector
  Pre-training
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Likun Cai
Zhi-Li Zhang
Yi Zhu
Li Zhang
Mu Li
Xiangyang Xue
VLM
ObjD
28
40
0
24 Mar 2022
Learning Affordance Grounding from Exocentric Images
Learning Affordance Grounding from Exocentric Images
Hongcheng Luo
Wei Zhai
Jing Zhang
Yang Cao
Dacheng Tao
11
60
0
18 Mar 2022
A practical framework for multi-domain speech recognition and an
  instance sampling method to neural language modeling
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling
Yike Zhang
Xiaobing Feng
Yi Y. Liu
Songjun Cao
Long Ma
16
0
0
09 Mar 2022
Taming the Long Tail of Deep Probabilistic Forecasting
Taming the Long Tail of Deep Probabilistic Forecasting
Jedrzej Kozerawski
Mayank Sharan
Rose Yu
AI4TS
13
7
0
27 Feb 2022
Learning with Free Object Segments for Long-Tailed Instance Segmentation
Learning with Free Object Segments for Long-Tailed Instance Segmentation
Cheng Zhang
Tai-Yu Pan
Tianle Chen
Jike Zhong
Wen-juan Fu
Wei-Lun Chao
VLM
33
10
0
22 Feb 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
X. Zhang
Jian-jun Sun
ISeg
21
24
0
08 Jan 2022
Detecting Twenty-thousand Classes using Image-level Supervision
Detecting Twenty-thousand Classes using Image-level Supervision
Xingyi Zhou
Rohit Girdhar
Armand Joulin
Phillip Krahenbuhl
Ishan Misra
CLIP
VLM
25
594
0
07 Jan 2022
Equalized Focal Loss for Dense Long-Tailed Object Detection
Equalized Focal Loss for Dense Long-Tailed Object Detection
Bo-wen Li
Yongqiang Yao
Jingru Tan
Gang Zhang
F. Yu
Jianwei Lu
Ye Luo
31
96
0
07 Jan 2022
Multi-Expert Human Action Recognition with Hierarchical Super-Class
  Learning
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning
Hojat Asgarian Dehkordi
Ali Soltani Nezhad
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
28
13
0
13 Dec 2021
You Only Need End-to-End Training for Long-Tailed Recognition
Zhiwei Zhang
12
2
0
11 Dec 2021
Injecting Semantic Concepts into End-to-End Image Captioning
Injecting Semantic Concepts into End-to-End Image Captioning
Zhiyuan Fang
Jianfeng Wang
Xiaowei Hu
Lin Liang
Zhe Gan
Lijuan Wang
Yezhou Yang
Zicheng Liu
ViT
VLM
19
86
0
09 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
16
43
0
08 Dec 2021
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases
  Recognition
Hierarchical Knowledge Guided Learning for Real-world Retinal Diseases Recognition
Lie Ju
Zhen Yu
Lin Wang
Xin Zhao
Xin Wang
Paul Bonnington
Z. Ge
15
14
0
17 Nov 2021
Previous
123
Next