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Dynamic Head: Unifying Object Detection Heads with Attentions

Dynamic Head: Unifying Object Detection Heads with Attentions

15 June 2021
Xiyang Dai
Yinpeng Chen
Bin Xiao
Dongdong Chen
Mengchen Liu
Lu Yuan
Lei Zhang
ArXivPDFHTML

Papers citing "Dynamic Head: Unifying Object Detection Heads with Attentions"

39 / 39 papers shown
Title
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer
Wenxi Li
Yuchen Guo
Jilai Zheng
Haozhe Lin
Chao Ma
Lu Fang
Xiaokang Yang
ViT
95
4
0
11 Feb 2025
Improved YOLOv5s model for key components detection of power transmission lines
Improved YOLOv5s model for key components detection of power transmission lines
Chong Chen
Guowu Yuan
Hao Zhou
Yi-An Ma
104
11
0
10 Feb 2025
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
439
21,392
0
25 Mar 2021
Probabilistic two-stage detection
Probabilistic two-stage detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
90
225
0
12 Mar 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
286
990
0
13 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
93
1,094
0
25 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
51
64
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
211
5,068
0
08 Oct 2020
BorderDet: Border Feature for Dense Object Detection
BorderDet: Border Feature for Dense Object Detection
Han Qiu
Yuchen Ma
Zeming Li
Songtao Liu
Jian Sun
ObjD
129
125
0
21 Jul 2020
RepPoints V2: Verification Meets Regression for Object Detection
RepPoints V2: Verification Meets Regression for Object Detection
Yihong Chen
Zheng Zhang
Yue Cao
Liwei Wang
Stephen Lin
Han Hu
65
118
0
16 Jul 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
85
651
0
11 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
377
13,025
0
26 May 2020
Scale-Equalizing Pyramid Convolution for Object Detection
Scale-Equalizing Pyramid Convolution for Object Detection
Xinjiang Wang
Shilong Zhang
Zhuoran Yu
Xue Jiang
Wayne Zhang
48
96
0
06 May 2020
SpineNet: Learning Scale-Permuted Backbone for Recognition and
  Localization
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Xianzhi Du
Nayeon Lee
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Huayu Chen
Quoc V. Le
Xiaodan Song
47
174
0
10 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
151
1,545
0
05 Dec 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
96
5,048
0
20 Nov 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
89
2,362
0
13 May 2019
RepPoints: Point Set Representation for Object Detection
RepPoints: Point Set Representation for Object Detection
Ze Yang
Shaohui Liu
Han Hu
Liwei Wang
Stephen Lin
3DPC
97
868
0
25 Apr 2019
CenterNet: Keypoint Triplets for Object Detection
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan
S. Bai
Lingxi Xie
H. Qi
Qingming Huang
Q. Tian
NoLa
109
2,692
0
17 Apr 2019
Libra R-CNN: Towards Balanced Learning for Object Detection
Libra R-CNN: Towards Balanced Learning for Object Detection
Jiangmiao Pang
Kai-xiang Chen
Jianping Shi
H. Feng
Wanli Ouyang
Dahua Lin
ObjD
78
1,292
0
04 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
121
5,007
0
02 Apr 2019
Deformable ConvNets v2: More Deformable, Better Results
Deformable ConvNets v2: More Deformable, Better Results
Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
ObjD
95
2,011
0
27 Nov 2018
SNIPER: Efficient Multi-Scale Training
SNIPER: Efficient Multi-Scale Training
Bharat Singh
Mahyar Najibi
L. Davis
ObjD
75
486
0
23 May 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
94
5,748
0
05 Mar 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
136
4,924
0
03 Dec 2017
An Analysis of Scale Invariance in Object Detection - SNIP
An Analysis of Scale Invariance in Object Detection - SNIP
Bharat Singh
L. Davis
ObjD
92
741
0
22 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
283
8,902
0
21 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
682
131,414
0
12 Jun 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
350
27,174
0
20 Mar 2017
Deformable Convolutional Networks
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
196
5,330
0
17 Mar 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
458
22,095
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
506
10,318
0
16 Nov 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
171
5,640
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,441
0
23 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
684
36,923
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
497
62,243
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
299
25,045
0
30 Apr 2015
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
408
43,619
0
01 May 2014
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