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2309.03110
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Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration
6 September 2023
Johannes Gilg
Torben Teepe
Fabian Herzog
Philipp Wolters
Gerhard Rigoll
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Papers citing
"Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration"
30 / 30 papers shown
Title
NMS Strikes Back
Jeffrey Ouyang-Zhang
Jang Hyun Cho
Xingyi Zhou
Philipp Krahenbuhl
62
38
0
12 Dec 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
CLIP
166
706
0
14 Nov 2022
Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment
Qiang Chen
Xiaokang Chen
Jian Wang
Shan Zhang
Kun Yao
Haocheng Feng
Junyu Han
Errui Ding
Gang Zeng
Jingdong Wang
ViT
77
128
0
26 Jul 2022
The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg
Torben Teepe
Fabian Herzog
Gerhard Rigoll
ObjD
35
4
0
03 Dec 2021
YOLOX: Exceeding YOLO Series in 2021
Zheng Ge
Songtao Liu
Feng Wang
Zeming Li
Jian Sun
ObjD
114
4,065
0
18 Jul 2021
CBNet: A Composite Backbone Network Architecture for Object Detection
Tingting Liang
Xiao Chu
Yudong Liu
Yongtao Wang
Zhi Tang
Wei Chu
Jingdong Chen
Haibin Ling
ObjD
48
163
0
01 Jul 2021
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Abhinav Kumar
Garrick Brazil
Xiaoming Liu
55
92
0
31 Mar 2021
From Black-box to White-box: Examining Confidence Calibration under different Conditions
Franziska Schwaiger
Maximilian Henne
Fabian Küppers
Felippe Schmoeller da Roza
Karsten Roscher
Anselm Haselhoff
54
10
0
08 Jan 2021
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
91
1,091
0
25 Nov 2020
VarifocalNet: An IoU-aware Dense Object Detector
Haoyang Zhang
Ying Wang
Feras Dayoub
Niko Sünderhauf
ObjD
68
682
0
31 Aug 2020
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Pengcheng Zhou
Chong Zhou
Pai Peng
Junlong Du
Xing Sun
Xiao-Wei Guo
Feiyue Huang
57
44
0
27 Jul 2020
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
Rohun Tripathi
Vasu Singla
Mahyar Najibi
Bharat Singh
Abhishek Sharma
L. Davis
34
2
0
19 Jul 2020
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
345
12,966
0
26 May 2020
Multivariate Confidence Calibration for Object Detection
Fabian Küppers
Jan Kronenberger
Amirhossein Shantia
Anselm Haselhoff
UQCV
31
112
0
28 Apr 2020
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration
Meelis Kull
Miquel Perelló Nieto
Markus Kängsepp
Telmo de Menezes e Silva Filho
Hao Song
Peter A. Flach
UQCV
63
380
0
28 Oct 2019
Objects as Points
Xingyi Zhou
Dequan Wang
Philipp Krahenbuhl
3DPC
101
3,249
0
16 Apr 2019
Adaptive NMS: Refining Pedestrian Detection in a Crowd
Songtao Liu
Di Huang
Yunhong Wang
43
284
0
07 Apr 2019
YOLACT: Real-time Instance Segmentation
Daniel Bolya
Chong Zhou
Fanyi Xiao
Yong Jae Lee
SSeg
VLM
ISeg
116
1,667
0
04 Apr 2019
Measuring Calibration in Deep Learning
Jeremy Nixon
Michael W. Dusenberry
Ghassen Jerfel
Timothy Nguyen
Jeremiah Zhe Liu
Linchuan Zhang
Dustin Tran
UQCV
69
488
0
02 Apr 2019
Acquisition of Localization Confidence for Accurate Object Detection
Borui Jiang
Ruixuan Luo
Jiayuan Mao
Tete Xiao
Yuning Jiang
ObjD
48
850
0
30 Jul 2018
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
105
21,386
0
08 Apr 2018
Improving Object Localization with Fitness NMS and Bounded IoU Loss
Lachlan Tychsen-Smith
L. Petersson
58
176
0
01 Nov 2017
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
237
5,812
0
14 Jun 2017
Soft-NMS -- Improving Object Detection With One Line of Code
Navaneeth Bodla
Bharat Singh
Rama Chellappa
L. Davis
ObjD
75
1,785
0
14 Apr 2017
Deformable Convolutional Networks
Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
196
5,320
0
17 Mar 2017
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
437
22,040
0
09 Dec 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
457
62,122
0
04 Jun 2015
Constructions for a bivariate beta distribution
I. Olkin
T. Trikalinos
46
58
0
23 Jun 2014
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
365
43,524
0
01 May 2014
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