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Libra R-CNN: Towards Balanced Learning for Object Detection

Libra R-CNN: Towards Balanced Learning for Object Detection

4 April 2019
Jiangmiao Pang
Kai-xiang Chen
Jianping Shi
H. Feng
Wanli Ouyang
Dahua Lin
    ObjD
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Papers citing "Libra R-CNN: Towards Balanced Learning for Object Detection"

26 / 126 papers shown
Title
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment
  in COVID-19 Pandemic
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei
Mohsen Azarmi
15
154
0
26 Aug 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
Yinzheng Gu
Yihan Pan
Shizhe Chen
29
1
0
17 Jul 2020
CenterNet3D: An Anchor Free Object Detector for Point Cloud
CenterNet3D: An Anchor Free Object Detector for Point Cloud
Guojun Wang
Jian Wu
Bin Wang
Siyu Teng
Long Chen
Dongpu Cao
3DPC
19
27
0
13 Jul 2020
Foreground-Background Imbalance Problem in Deep Object Detectors: A
  Review
Foreground-Background Imbalance Problem in Deep Object Detectors: A Review
Joya Chen
Qi Wu
Dong Liu
Tong Xu
ObjD
22
24
0
16 Jun 2020
HRDNet: High-resolution Detection Network for Small Objects
HRDNet: High-resolution Detection Network for Small Objects
Ziming Liu
Guangyu Gao
Lin Sun
Zhiyuan Fang
ObjD
26
103
0
13 Jun 2020
Quasi-Dense Similarity Learning for Multiple Object Tracking
Quasi-Dense Similarity Learning for Multiple Object Tracking
Jiangmiao Pang
Linlu Qiu
Xia Li
Haofeng Chen
Qi Li
Trevor Darrell
Feng Yu
VOT
28
362
0
11 Jun 2020
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
Dongzhan Zhou
Xinchi Zhou
Hongwen Zhang
Shuai Yi
Wanli Ouyang
VLM
24
16
0
25 Apr 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
63
12,055
0
23 Apr 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
50
458
0
31 Mar 2020
Monocular Depth Estimation Based On Deep Learning: An Overview
Monocular Depth Estimation Based On Deep Learning: An Overview
Chaoqiang Zhao
Qiyu Sun
Chongzhen Zhang
Yang Tang
Feng Qian
MDE
65
251
0
14 Mar 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion
PF-Net: Point Fractal Network for 3D Point Cloud Completion
Zitian Huang
Yikuan Yu
Jiawen Xu
Feng Ni
Xinyi Le
3DPC
44
356
0
01 Mar 2020
Side-Aware Boundary Localization for More Precise Object Detection
Side-Aware Boundary Localization for More Precise Object Detection
Jiaqi Wang
Wenwei Zhang
Yuhang Cao
Kai-xiang Chen
Jiangmiao Pang
Tao Gong
Jianping Shi
Chen Change Loy
Dahua Lin
ObjD
26
137
0
09 Dec 2019
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
61
1,516
0
05 Dec 2019
IPG-Net: Image Pyramid Guidance Network for Small Object Detection
IPG-Net: Image Pyramid Guidance Network for Small Object Detection
Ziming Liu
Guangyu Gao
Lin Sun
Lingyu Fang
ObjD
21
53
0
02 Dec 2019
Empirical Upper Bound in Object Detection and More
Empirical Upper Bound in Object Detection and More
Ali Borji
Seyed Mehdi Iranmanesh
VLM
ObjD
24
24
0
27 Nov 2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box
  Regression
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng
Ping Wang
Wei Liu
Jinze Li
Rongguang Ye
Dongwei Ren
NoLa
21
3,603
0
19 Nov 2019
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object
  Detection
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
Weihong Lin
Jia-Xing Zhong
Shan Liu
Thomas H. Li
Ge Li
ObjD
10
111
0
08 Nov 2019
Dice Loss for Data-imbalanced NLP Tasks
Dice Loss for Data-imbalanced NLP Tasks
Xiaoya Li
Xiaofei Sun
Yuxian Meng
Junjun Liang
Fei Wu
Jiwei Li
44
566
0
07 Nov 2019
Is Heuristic Sampling Necessary in Training Deep Object Detectors?
Is Heuristic Sampling Necessary in Training Deep Object Detectors?
Joya Chen
Dong Liu
Tong Xu
Shiwei Wu
Yifei Cheng
Enhong Chen
ObjD
VLM
23
12
0
11 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
16
458
0
31 Aug 2019
Residual Objectness for Imbalance Reduction
Residual Objectness for Imbalance Reduction
Joya Chen
Dong Liu
Bin Luo
X. Peng
Tong Xu
Enhong Chen
ObjD
21
7
0
24 Aug 2019
IoU-balanced Loss Functions for Single-stage Object Detection
IoU-balanced Loss Functions for Single-stage Object Detection
Shengkai Wu
Jinrong Yang
Xinggang Wang
Xiaoping Li
ObjD
18
101
0
15 Aug 2019
Prime Sample Attention in Object Detection
Prime Sample Attention in Object Detection
Yuhang Cao
Kai-xiang Chen
Chen Change Loy
Dahua Lin
ObjD
21
202
0
09 Apr 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
23
1,287
0
22 Jan 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
53
2,268
0
17 Jan 2019
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small
  Objects
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
Lisha Cui
Rui Ma
Pei Lv
Xiaoheng Jiang
Zhimin Gao
Bing Zhou
Mingliang Xu
ObjD
24
128
0
18 May 2018
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