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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

5 December 2019
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
    ObjD
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Papers citing "Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection"

47 / 497 papers shown
Title
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
147
285
0
08 Dec 2020
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-jun Sun
N. Zheng
ObjD
41
194
0
07 Dec 2020
Fine-Grained Dynamic Head for Object Detection
Fine-Grained Dynamic Head for Object Detection
Lin Song
Yanwei Li
Zhengkai Jiang
Zeming Li
Hongbin Sun
Jian-jun Sun
N. Zheng
ObjD
11
35
0
07 Dec 2020
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate
  Single-Shot Object Detection
Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
Ping-Yang Chen
Chien-Yao Wang
J. Hsieh
Munkhjargal Gochoo
ObjD
6
79
0
03 Dec 2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViT
16
468
0
01 Dec 2020
Video Self-Stitching Graph Network for Temporal Action Localization
Video Self-Stitching Graph Network for Temporal Action Localization
Chen Zhao
Ali K. Thabet
Bernard Ghanem
6
119
0
30 Nov 2020
A Selective Survey on Versatile Knowledge Distillation Paradigm for
  Neural Network Models
A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models
J. Ku
Jihun Oh
Youngyoon Lee
Gaurav Pooniwala
Sangjeong Lee
13
2
0
30 Nov 2020
Generalized Focal Loss V2: Learning Reliable Localization Quality
  Estimation for Dense Object Detection
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Xiang Li
Wenhai Wang
Xiaolin Hu
Jun Li
Jinhui Tang
Jian Yang
ObjD
6
234
0
25 Nov 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-Xin Jiang
Tao Kong
Chenfeng Xu
...
M. Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
Ping Luo
ObjD
8
1,059
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 M. Kitani
ViT
6
281
0
21 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 Tasks
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
13
32
0
21 Nov 2020
UP-DETR: Unsupervised Pre-training for Object Detection with
  Transformers
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
ViT
20
22
0
18 Nov 2020
SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation
SRF-GAN: Super-Resolved Feature GAN for Multi-Scale Representation
Seong-Ho Lee
Seung-Hwan Bae
ObjD
8
2
0
17 Nov 2020
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Scaled-YOLOv4: Scaling Cross Stage Partial Network
Chien-Yao Wang
Alexey Bochkovskiy
H. Liao
ObjD
6
978
0
16 Nov 2020
DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object
  Detection
DSIC: Dynamic Sample-Individualized Connector for Multi-Scale Object Detection
Zekun Li
Yufan Liu
Bing Li
Weiming Hu
ObjD
11
5
0
16 Nov 2020
RelationNet++: Bridging Visual Representations for Object Detection via
  Transformer Decoder
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
Cheng Chi
Fangyun Wei
Han Hu
ViT
13
60
0
29 Oct 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
18
3,879
0
08 Oct 2020
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
29
519
0
29 Sep 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
17
42
0
28 Sep 2020
Search and Rescue with Airborne Optical Sectioning
Search and Rescue with Airborne Optical Sectioning
D. Schedl
Indrajit Kurmi
Oliver Bimber
17
35
0
18 Sep 2020
The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection Challenge:Methods and Results
Xuehui Yu
Zhenjun Han
Yuqi Gong
Nan Jan
Jian-jun Zhao
...
Yuchao Yang
Shuiwang Li
Huan Luo
Qijun Zhao
Humphrey Shi
11
22
0
16 Sep 2020
Semi-Anchored Detector for One-Stage Object Detection
Semi-Anchored Detector for One-Stage Object Detection
Lei Chen
Qi Qian
Hao Li
ObjD
12
3
0
10 Sep 2020
VarifocalNet: An IoU-aware Dense Object Detector
VarifocalNet: An IoU-aware Dense Object Detector
Haoyang Zhang
Ying Wang
Feras Dayoub
Niko Sünderhauf
ObjD
13
652
0
31 Aug 2020
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D
  Tracking / Domain Adaptation of Waymo Open Dataset Challenges
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges
Shaoshuai Shi
Chaoxu Guo
Jihan Yang
Hongsheng Li
3DPC
11
10
0
28 Aug 2020
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
Jing Wang
Weiqing Min
Sujuan Hou
Shengnan Ma
Yuanjie Zheng
Shuqiang Jiang
9
50
0
12 Aug 2020
Corner Proposal Network for Anchor-free, Two-stage Object Detection
Corner Proposal Network for Anchor-free, Two-stage Object Detection
Kaiwen Duan
Lingxi Xie
H. Qi
S. Bai
Qingming Huang
Qi Tian
ObjD
8
98
0
27 Jul 2020
Representation Sharing for Fast Object Detector Search and Beyond
Representation Sharing for Fast Object Detector Search and Beyond
Yujie Zhong
Zelu Deng
Sheng Guo
Matthew R. Scott
Weilin Huang
ObjD
29
15
0
23 Jul 2020
RepPoints V2: Verification Meets Regression for Object Detection
RepPoints V2: Verification Meets Regression for Object Detection
Yihong Chen
Zheng-Wei Zhang
Yue Cao
Liwei Wang
Stephen Lin
Han Hu
10
118
0
16 Jul 2020
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
Kang-jik Kim
Hee Seok Lee
10
387
0
16 Jul 2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection
AutoAssign: Differentiable Label Assignment for Dense Object Detection
Benjin Zhu
Jianfeng Wang
Zhengkai Jiang
Fuhang Zong
Songtao Liu
Zeming Li
Jian-jun Sun
12
211
0
07 Jul 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection
Localization Uncertainty Estimation for Anchor-Free Object Detection
Youngwan Lee
Joong-won Hwang
Hyungil Kim
Kimin Yun
Yongjin Kwon
Yuseok Bae
Joungyoul Park
6
30
0
28 Jun 2020
DHARI Report to EPIC-Kitchens 2020 Object Detection Challenge
DHARI Report to EPIC-Kitchens 2020 Object Detection Challenge
Kaide Li
Bingyan Liao
Laifeng Hu
Yaonong Wang
8
0
0
28 Jun 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
19
580
0
14 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
26
81
0
10 Jun 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding
  Boxes for Dense Object Detection
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Xiang Li
Wenhai Wang
Lijun Wu
Shuo Chen
Xiaolin Hu
Jun Li
Jinhui Tang
Jian Yang
ObjD
6
1,128
0
08 Jun 2020
Towards large-scale, automated, accurate detection of CCTV camera
  objects using computer vision. Applications and implications for privacy,
  safety, and cybersecurity. (Preprint)
Towards large-scale, automated, accurate detection of CCTV camera objects using computer vision. Applications and implications for privacy, safety, and cybersecurity. (Preprint)
Hannu Turtiainen
Andrei Costin
Tuomo Lahtinen
Lauri Sintonen
Timo Hämäläinen
6
6
0
06 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
11
12,479
0
26 May 2020
An Effective Pipeline for a Real-world Clothes Retrieval System
An Effective Pipeline for a Real-world Clothes Retrieval System
Yang-Ho Ji
HeeJae Jun
Insik Kim
Jongtack Kim
Youngjoon Kim
ByungSoo Ko
Hyong-Keun Kook
Jingeun Lee
Sangwon Lee
Sanghyuk Park
6
2
0
26 May 2020
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
Zhihao Duan
M. Tezcan
Hayato Nakamura
Prakash Ishwar
Janusz Konrad
ObjD
19
47
0
23 May 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
6
11,663
0
23 Apr 2020
TResNet: High Performance GPU-Dedicated Architecture
TResNet: High Performance GPU-Dedicated Architecture
T. Ridnik
Hussam Lawen
Asaf Noy
Emanuel Ben-Baruch
Gilad Sharir
Itamar Friedman
OOD
12
209
0
30 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel
  Attention
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Guoqiang Zhang
Jun Guo
8
25
0
10 Mar 2020
Detection and Tracking Meet Drones Challenge
Detection and Tracking Meet Drones Challenge
Pengfei Zhu
Longyin Wen
Dawei Du
Xiao Bian
Heng Fan
Q. Hu
Haibin Ling
AI4TS
10
381
0
16 Jan 2020
Dense RepPoints: Representing Visual Objects with Dense Point Sets
Dense RepPoints: Representing Visual Objects with Dense Point Sets
Ze Yang
Yinghao Xu
Han Xue
Zheng-Wei Zhang
R. Urtasun
Liwei Wang
Stephen Lin
Han Hu
11
54
0
24 Dec 2019
Training Multi-Object Detector by Estimating Bounding Box Distribution
  for Input Image
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image
Jaeyoung Yoo
Hojun Lee
Ahmed Abdulaal
André Altmann
James Cole
ObjD
9
5
0
28 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 Bill Xu
Shiwei Wu
Yifei Cheng
Enhong Chen
ObjD
VLM
13
12
0
11 Sep 2019
DetNet: A Backbone network for Object Detection
DetNet: A Backbone network for Object Detection
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian-jun Sun
ObjD
79
259
0
17 Apr 2018
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