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Gradient Harmonized Single-stage Detector

Gradient Harmonized Single-stage Detector

13 November 2018
Buyu Li
Yu Liu
Xiaogang Wang
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Gradient Harmonized Single-stage Detector"

50 / 157 papers shown
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion
  Classification
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion ClassificationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Peng Yao
Shuwei Shen
Mengjuan Xu
Peng Liu
Fan Zhang
Jinyu Xing
Pengfei Shao
B. Kaffenberger
Ronald X. Xu
111
156
0
02 Feb 2021
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector
  Representation for 3D Object Detection
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object DetectionInternational Journal of Computer Vision (IJCV), 2021
Shaoshuai Shi
Li Jiang
Jiajun Deng
Zhe Wang
Chaoxu Guo
Jianping Shi
Xiaogang Wang
Jiaming Song
3DPC
424
524
0
31 Jan 2021
ResLT: Residual Learning for Long-tailed Recognition
ResLT: Residual Learning for Long-tailed RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Jiequan Cui
Shu Liu
Zhuotao Tian
Zhisheng Zhong
Jiaya Jia
384
180
0
26 Jan 2021
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in
  Aerial Images
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial ImagesIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020
Ran Qin
Qingjie Liu
Guangshuai Gao
Di Huang
Yunhong Wang
ObjD
216
30
0
24 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 DetectionComputer Vision and Pattern Recognition (CVPR), 2020
Jingru Tan
Xin Lu
Qiang Chen
Changqing Yin
Quanquan Li
VLM
207
198
0
15 Dec 2020
DETR for Crowd Pedestrian Detection
DETR for Crowd Pedestrian Detection
Matthieu Lin
Chuming Li
Xingyuan Bu
Ming Sun
Chen Lin
Junjie Yan
Wanli Ouyang
Zhidong Deng
ViT
290
11
0
12 Dec 2020
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming
Z. Zhou
Lingjuan Miao
Hongwei Zhang
Linhao Li
ObjD
359
315
0
08 Dec 2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive
  Representation Transfer
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation TransferNeural Information Processing Systems (NeurIPS), 2020
Zidi Xiu
Junya Chen
Ricardo Henao
B. Goldstein
Lawrence Carin
Chenyang Tao
195
11
0
25 Nov 2020
One Metric to Measure them All: Localisation Recall Precision (LRP) for
  Evaluating Visual Detection Tasks
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
219
39
0
21 Nov 2020
Foreground-Aware Relation Network for Geospatial Object Segmentation in
  High Spatial Resolution Remote Sensing Imagery
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryComputer Vision and Pattern Recognition (CVPR), 2020
Zhuo Zheng
Yanfei Zhong
Junjue Wang
A. Ma
273
287
0
19 Nov 2020
Robust Visual Tracking via Statistical Positive Sample Generation and
  Gradient Aware Learning
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
Lijian Lin
Haosheng chen
Yanjie Liang
Y. Yan
Hanzi Wang
111
2
0
09 Nov 2020
SWIPENET: Object detection in noisy underwater images
SWIPENET: Object detection in noisy underwater images
Long Chen
Feixiang Zhou
Shengke Wang
Junyu Dong
Ning Li
Haiping Ma
Xin Wang
Huiyu Zhou
280
23
0
19 Oct 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmplerNeural Information Processing Systems (NeurIPS), 2020
Zhining Liu
Pengfei Wei
Jing Jiang
Wei Cao
Jiang Bian
Yi-Ju Chang
110
74
0
17 Oct 2020
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance
Class-Wise Difficulty-Balanced Loss for Solving Class-ImbalanceAsian Conference on Computer Vision (ACCV), 2020
Saptarshi Sinha
Hiroki Ohashi
Katsuyuki Nakamura
86
46
0
05 Oct 2020
A Ranking-based, Balanced Loss Function Unifying Classification and
  Localisation in Object Detection
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
297
49
0
28 Sep 2020
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based
  Sentiment Analysis
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment AnalysisFindings (Findings), 2020
Huaishao Luo
Lei Ji
Tianrui Li
Nan Duan
Daxin Jiang
CVBM
678
47
0
22 Sep 2020
A Comparison of Deep Learning Object Detection Models for Satellite
  Imagery
A Comparison of Deep Learning Object Detection Models for Satellite ImageryInternational Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2019
A. Groener
Gary Chern
M. D. Pritt
ObjD
130
18
0
10 Sep 2020
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with
  Auxiliary Tasks
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks
Sam Verboven
M. H. Chaudhary
Jeroen Berrevoets
Wouter Verbeke
157
7
0
26 Aug 2020
AP-Loss for Accurate One-Stage Object Detection
AP-Loss for Accurate One-Stage Object Detection
Kean Chen
Weiyao Lin
Jianguo Li
John See
Ji Wang
Junni Zou
ObjD
206
75
0
17 Aug 2020
Single-Shot Two-Pronged Detector with Rectified IoU Loss
Single-Shot Two-Pronged Detector with Rectified IoU LossACM Multimedia (ACM MM), 2020
Keyang Wang
Lei Zhang
ObjD
120
27
0
08 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
179
12
0
08 Aug 2020
Prime-Aware Adaptive Distillation
Prime-Aware Adaptive Distillation
Youcai Zhang
Zhonghao Lan
Yuchen Dai
Fangao Zeng
Yan Bai
Jie Chang
Yichen Wei
167
49
0
04 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
Jiaming Song
682
688
0
21 Jul 2020
PGD-UNet: A Position-Guided Deformable Network for Simultaneous
  Segmentation of Organs and Tumors
PGD-UNet: A Position-Guided Deformable Network for Simultaneous Segmentation of Organs and Tumors
Ziqiang Li
Hong Pan
Yaping Zhu
•. A. K. Qin
200
26
0
02 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
142
26
0
16 Jun 2020
Delving into the Imbalance of Positive Proposals in Two-stage Object
  Detection
Delving into the Imbalance of Positive Proposals in Two-stage Object Detection
Zheng Ge
Zequn Jie
Xin Huang
Chengzhen Li
Osamu Yoshie
ObjD
79
0
0
23 May 2020
Enhancing Geometric Factors in Model Learning and Inference for Object
  Detection and Instance Segmentation
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
Zhaohui Zheng
Ping Wang
Dongwei Ren
Wei Liu
Rongguang Ye
Q. Hu
W. Zuo
VLM
318
1,197
0
07 May 2020
ProbaNet: Proposal-balanced Network for Object Detection
ProbaNet: Proposal-balanced Network for Object Detection
Jing Wu
Xiang Zhang
Mingyi Zhou
Ce Zhu
116
0
0
06 May 2020
Decoupled Gradient Harmonized Detector for Partial Annotation:
  Application to Signet Ring Cell Detection
Decoupled Gradient Harmonized Detector for Partial Annotation: Application to Signet Ring Cell DetectionNeurocomputing (Neurocomputing), 2020
Tiancheng Lin
Yuanfan Guo
Canqian Yang
Jiancheng Yang
Yi Tian Xu
145
9
0
09 Apr 2020
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face
  Recognition
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Yanhua Huang
Yuhan Wang
Ying Tai
Xiaoming Liu
Pengcheng Shen
Shaoxin Li
Jilin Li
Feiyue Huang
CVBM
286
595
0
01 Apr 2020
1st Place Solutions for OpenImage2019 -- Object Detection and Instance
  Segmentation
1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation
Yu Liu
Guanglu Song
Yuhang Zang
Yan Gao
Enze Xie
Junjie Yan
Chen Change Loy
Xiaogang Wang
140
20
0
17 Mar 2020
KPNet: Towards Minimal Face Detector
KPNet: Towards Minimal Face DetectorAAAI Conference on Artificial Intelligence (AAAI), 2020
Guanglu Song
Yu Liu
Yuhang Zang
Xiaogang Wang
B. Leng
Qingsheng Yuan
CVBM
197
7
0
17 Mar 2020
Revisiting the Sibling Head in Object Detector
Revisiting the Sibling Head in Object DetectorComputer Vision and Pattern Recognition (CVPR), 2020
Guanglu Song
Yu Liu
Xiaogang Wang
ObjD
433
395
0
17 Mar 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
586
516
0
11 Mar 2020
Deep Representation Learning on Long-tailed Data: A Learnable Embedding
  Augmentation Perspective
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation PerspectiveComputer Vision and Pattern Recognition (CVPR), 2020
Jialun Liu
Yifan Sun
Chuchu Han
Zhaopeng Dou
Wenhui Li
353
228
0
25 Feb 2020
Solving Missing-Annotation Object Detection with Background
  Recalibration Loss
Solving Missing-Annotation Object Detection with Background Recalibration LossIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Han Zhang
Fangyi Chen
Zhiqiang Shen
Qiqi Hao
Chenchen Zhu
Marios Savvides
ObjD
335
55
0
12 Feb 2020
Object condensation: one-stage grid-free multi-object reconstruction in
  physics detectors, graph and image data
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
J. Kieseler
3DPC
188
57
0
10 Feb 2020
IoU-uniform R-CNN: Breaking Through the Limitations of RPN
IoU-uniform R-CNN: Breaking Through the Limitations of RPNPattern Recognition (Pattern Recognit.), 2019
Li Zhu
Zihao Xie
Liman Liu
B. Tao
Wenbing Tao
ObjD
125
54
0
11 Dec 2019
Learning from Noisy Anchors for One-stage Object Detection
Learning from Noisy Anchors for One-stage Object DetectionComputer Vision and Pattern Recognition (CVPR), 2019
Hengduo Li
Zuxuan Wu
Chen Zhu
Caiming Xiong
R. Socher
L. Davis
NoLa
260
107
0
11 Dec 2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box
  Regression
Distance-IoU Loss: Faster and Better Learning for Bounding Box RegressionAAAI Conference on Artificial Intelligence (AAAI), 2019
Zhaohui Zheng
Ping Wang
Wei Liu
Jinze Li
Rongguang Ye
Dongwei Ren
NoLa
402
4,493
0
19 Nov 2019
Preparing Lessons: Improve Knowledge Distillation with Better
  Supervision
Preparing Lessons: Improve Knowledge Distillation with Better Supervision
Tiancheng Wen
Shenqi Lai
Xueming Qian
372
78
0
18 Nov 2019
Generating Positive Bounding Boxes for Balanced Training of Object
  Detectors
Generating Positive Bounding Boxes for Balanced Training of Object DetectorsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Kemal Oksuz
Baris Can Cam
Emre Akbas
Sinan Kalkan
ObjD
211
24
0
21 Sep 2019
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
383
528
0
31 Aug 2019
Residual Objectness for Imbalance Reduction
Residual Objectness for Imbalance ReductionPattern Recognition (Pattern Recognit.), 2019
Joya Chen
Dong Liu
Bin Luo
X. Peng
Tong Xu
Enhong Chen
ObjD
209
9
0
24 Aug 2019
IoU-balanced Loss Functions for Single-stage Object Detection
IoU-balanced Loss Functions for Single-stage Object DetectionPattern Recognition Letters (PR), 2019
Shengkai Wu
Jinrong Yang
Xinggang Wang
Xiaoping Li
ObjD
131
106
0
15 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLMObjD
307
892
0
10 Aug 2019
Rethinking Classification and Localization for Cascade R-CNN
Rethinking Classification and Localization for Cascade R-CNNBritish Machine Vision Conference (BMVC), 2019
Ang Li
Xue Yang
Chongyang Zhang
ObjD
122
7
0
27 Jul 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin LossNeural Information Processing Systems (NeurIPS), 2019
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
342
1,892
0
18 Jun 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
MMDetection: Open MMLab Detection Toolbox and Benchmark
Kai-xiang Chen
Yuan Liu
Jiangmiao Pang
Yuhang Cao
Yu Xiong
...
Jingdong Wang
Jianping Shi
Wanli Ouyang
Chen Change Loy
Dahua Lin
VOS
515
3,240
0
17 Jun 2019
AM-LFS: AutoML for Loss Function Search
AM-LFS: AutoML for Loss Function SearchIEEE International Conference on Computer Vision (ICCV), 2019
Chuming Li
Yuan Xin
Chen Lin
Minghao Guo
Wei Wu
Wanli Ouyang
Junjie Yan
VLM
273
75
0
17 May 2019
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