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ComplETR: Reducing the cost of annotations for object detection in dense
  scenes with vision transformers

ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers

13 September 2022
Achin Jain
Kibok Lee
Gurumurthy Swaminathan
Han Yang
Bernt Schiele
Avinash Ravichandran
Onkar Dabeer
    ViT
ArXiv (abs)PDFHTML

Papers citing "ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers"

15 / 15 papers shown
Title
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class
  Correlation Exploitation
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation
Gongjie Zhang
Zhipeng Luo
Kaiwen Cui
Shijian Lu
ViT
75
78
0
22 Mar 2021
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
227
5,080
0
08 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
235
4,083
0
17 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
ViT3DVPINN
421
13,048
0
26 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
92
497
0
10 May 2020
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised
  Object Detection
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
Yong Jae Lee
Alex Schwing
Jan Kautz
WSOD
62
201
0
09 Apr 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
157
3,558
0
21 Jan 2020
LVIS: A Dataset for Large Vocabulary Instance Segmentation
LVIS: A Dataset for Large Vocabulary Instance Segmentation
Agrim Gupta
Piotr Dollár
Ross B. Girshick
ISegVLM
103
1,371
0
08 Aug 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
119
2,696
0
17 Apr 2019
Precise Detection in Densely Packed Scenes
Precise Detection in Densely Packed Scenes
Eran Goldman
Roei Herzig
Aviv Eisenschtat
Oria Ratzon
Itsik Levi
Jacob Goldberger
Tal Hassner
71
187
0
01 Apr 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding
  Box Regression
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
S. Hamid Rezatofighi
Deyuan Li
JunYoung Gwak
Amir Sadeghian
Ian Reid
Silvio Savarese
150
4,164
0
25 Feb 2019
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object
  Detection
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
J. Gao
Jiang Wang
Shengyang Dai
Li Li
Ram Nevatia
ObjD
75
94
0
01 Dec 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
281
686
0
30 Apr 2018
Cascade R-CNN: Delving into High Quality Object Detection
Cascade R-CNN: Delving into High Quality Object Detection
Zhaowei Cai
Nuno Vasconcelos
ObjD
141
4,930
0
03 Dec 2017
Extreme clicking for efficient object annotation
Extreme clicking for efficient object annotation
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
53
246
0
09 Aug 2017
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