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Progressive End-to-End Object Detection in Crowded Scenes

Progressive End-to-End Object Detection in Crowded Scenes

15 March 2022
Anlin Zheng
Yuang Zhang
Xinming Zhang
Xiao Qi
Jian Sun
    ObjD
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Papers citing "Progressive End-to-End Object Detection in Crowded Scenes"

42 / 42 papers shown
Title
Dense Object Detection Based on De-homogenized Queries
Dense Object Detection Based on De-homogenized Queries
Yueming Huang
Chenrui Ma
Hao Zhou
Hao Wu
Guowu Yuan
146
0
0
11 Feb 2025
Fast Convergence of DETR with Spatially Modulated Co-Attention
Fast Convergence of DETR with Spatially Modulated Co-Attention
Peng Gao
Minghang Zheng
Xiaogang Wang
Jifeng Dai
Hongsheng Li
ViT
56
305
0
05 Aug 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
206
21,051
0
25 Mar 2021
End-to-End Object Detection with Fully Convolutional Network
End-to-End Object Detection with Fully Convolutional Network
Jianfeng Wang
Lin Song
Zeming Li
Hongbin Sun
Jian Sun
N. Zheng
ObjD
78
195
0
07 Dec 2020
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Pei Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
...
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
Ping Luo
ObjD
58
1,085
0
25 Nov 2020
Rethinking Transformer-based Set Prediction for Object Detection
Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun
Shengcao Cao
Yiming Yang
Kris Kitani
ViT
109
319
0
21 Nov 2020
End-to-End Object Detection with Adaptive Clustering Transformer
End-to-End Object Detection with Adaptive Clustering Transformer
Minghang Zheng
Peng Gao
Renrui Zhang
Kunchang Li
Xiaogang Wang
Hongsheng Li
Hao Dong
ViT
137
195
0
18 Nov 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu
Weijie Su
Lewei Lu
Bin Li
Xiaogang Wang
Jifeng Dai
ViT
129
4,993
0
08 Oct 2020
TIDE: A General Toolbox for Identifying Object Detection Errors
TIDE: A General Toolbox for Identifying Object Detection Errors
Daniel Bolya
Sean Foley
James Hays
Judy Hoffman
61
190
0
18 Aug 2020
FCOS: A simple and strong anchor-free object detector
FCOS: A simple and strong anchor-free object detector
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
52
605
0
14 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
228
12,847
0
26 May 2020
IterDet: Iterative Scheme for Object Detection in Crowded Environments
IterDet: Iterative Scheme for Object Detection in Crowded Environments
D. Rukhovich
Konstantin Sofiiuk
Danil Galeev
O. Barinova
Anton Konushin
59
40
0
12 May 2020
NMS by Representative Region: Towards Crowded Pedestrian Detection by
  Proposal Pairing
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing
Xin Huang
Zheng Ge
Zequn Jie
Osamu Yoshie
ViT
68
128
0
28 Mar 2020
Detection in Crowded Scenes: One Proposal, Multiple Predictions
Detection in Crowded Scenes: One Proposal, Multiple Predictions
Xuangeng Chu
Anlin Zheng
Xinming Zhang
Jian Sun
ObjD
106
173
0
20 Mar 2020
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary
  Object Suppression
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression
Zheng Ge
Zequn Jie
Xin Huang
Rong Xu
Osamu Yoshie
31
29
0
16 Mar 2020
FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
Niels Ole Salscheider
23
36
0
18 Feb 2020
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
101
1,527
0
05 Dec 2019
Semantic Head Enhanced Pedestrian Detection in a Crowd
Semantic Head Enhanced Pedestrian Detection in a Crowd
Ruiqi Lu
Huimin Ma
CVBM
24
49
0
27 Nov 2019
Relational Learning for Joint Head and Human Detection
Relational Learning for Joint Head and Human Detection
Cheng Chi
Shifeng Zhang
Junliang Xing
Zhen Lei
Stan Z. Li
Xudong Zou
3DH
28
56
0
24 Sep 2019
Double Anchor R-CNN for Human Detection in a Crowd
Double Anchor R-CNN for Human Detection in a Crowd
Kevin Zhang
Feng Xiong
Pei Sun
Liang Hu
Boxun Li
Gang Yu
36
53
0
22 Sep 2019
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
Cheng Chi
Shifeng Zhang
Junliang Xing
Zhen Lei
Stan Z. Li
Xudong Zou
44
104
0
15 Sep 2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Songtao Liu
Di Huang
Yunhong Wang
23
282
0
07 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
86
4,969
0
02 Apr 2019
Sequential Context Encoding for Duplicate Removal
Sequential Context Encoding for Duplicate Removal
Lu Qi
Shu Liu
Jianping Shi
Jiaya Jia
36
23
0
20 Oct 2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
56
400
0
23 Jul 2018
CrowdHuman: A Benchmark for Detecting Human in a Crowd
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Shuai Shao
Zijian Zhao
Boxun Li
Tete Xiao
Gang Yu
Xiangyu Zhang
Jian Sun
241
681
0
30 Apr 2018
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
66
1,222
0
30 Nov 2017
Repulsion Loss: Detecting Pedestrians in a Crowd
Repulsion Loss: Detecting Pedestrians in a Crowd
Xinlong Wang
Tete Xiao
Yuning Jiang
Shuai Shao
Jian Sun
Chunhua Shen
36
498
0
21 Nov 2017
Single-Shot Refinement Neural Network for Object Detection
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang
Longyin Wen
Xiao Bian
Zhen Lei
Stan Z. Li
ObjD
33
1,286
0
18 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
304
129,831
0
12 Jun 2017
Learning non-maximum suppression
Learning non-maximum suppression
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
26
517
0
08 May 2017
Soft-NMS -- Improving Object Detection With One Line of Code
Soft-NMS -- Improving Object Detection With One Line of Code
Navaneeth Bodla
Bharat Singh
Rama Chellappa
L. Davis
ObjD
41
1,778
0
14 Apr 2017
Spatial Memory for Context Reasoning in Object Detection
Spatial Memory for Context Reasoning in Object Detection
Xinlei Chen
Abhinav Gupta
ObjD
34
164
0
13 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
229
27,018
0
20 Mar 2017
CityPersons: A Diverse Dataset for Pedestrian Detection
CityPersons: A Diverse Dataset for Pedestrian Detection
Shanshan Zhang
Rodrigo Benenson
Bernt Schiele
34
803
0
19 Feb 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
386
21,951
0
09 Dec 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
26
221
0
24 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.0K
192,638
0
10 Dec 2015
A convnet for non-maximum suppression
A convnet for non-maximum suppression
J. Hosang
Rodrigo Benenson
Bernt Schiele
30
74
0
19 Nov 2015
End-to-end people detection in crowded scenes
End-to-end people detection in crowded scenes
Russell Stewart
Mykhaylo Andriluka
41
541
0
16 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
450
149,474
0
22 Dec 2014
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
154
43,290
0
01 May 2014
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