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How good are detection proposals, really?

How good are detection proposals, really?

26 June 2014
J. Hosang
Rodrigo Benenson
Bernt Schiele
    ObjD
ArXivPDFHTML

Papers citing "How good are detection proposals, really?"

50 / 66 papers shown
Title
Improving Detection of Person Class Using Dense Pooling
Improving Detection of Person Class Using Dense Pooling
Nouman Ahmad
ObjD
33
0
0
28 Oct 2024
Efficient Face Detection with Audio-Based Region Proposals for
  Human-Robot Interactions
Efficient Face Detection with Audio-Based Region Proposals for Human-Robot Interactions
William Aris
Franccois Grondin
CVBM
14
0
0
14 Sep 2023
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Kibok Lee
Hao Yang
Satyaki Chakraborty
Zhaowei Cai
Gurumurthy Swaminathan
Avinash Ravichandran
Onkar Dabeer
59
21
0
22 Jul 2022
Postdisaster image-based damage detection and repair cost estimation of
  reinforced concrete buildings using dual convolutional neural networks
Postdisaster image-based damage detection and repair cost estimation of reinforced concrete buildings using dual convolutional neural networks
Xiao Pan
Tony T. Y. Yang
29
91
0
16 Nov 2021
Diagnosing Errors in Video Relation Detectors
Diagnosing Errors in Video Relation Detectors
Shuo Chen
Pascal Mettes
Cees G. M. Snoek
41
5
0
25 Oct 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
38
115
0
08 Jun 2021
Modeling long-term interactions to enhance action recognition
Modeling long-term interactions to enhance action recognition
Alejandro Cartas
Petia Radeva
Mariella Dimiccoli
EgoV
27
6
0
23 Apr 2021
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
49
190
0
18 Aug 2020
Cascade RPN: Delving into High-Quality Region Proposal Network with
  Adaptive Convolution
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
Thang Vu
Hyunjun Jang
T. Pham
Chang D. Yoo
ObjD
37
166
0
15 Sep 2019
Learning Objectness from Sonar Images for Class-Independent Object
  Detection
Learning Objectness from Sonar Images for Class-Independent Object Detection
Matias Valdenegro-Toro
26
10
0
01 Jul 2019
Deep Neural Networks for Marine Debris Detection in Sonar Images
Deep Neural Networks for Marine Debris Detection in Sonar Images
Matias Valdenegro-Toro
34
25
0
13 May 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
47
2,304
0
13 May 2019
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning
  on Omnidirectional Cameras
OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
Goncalo Dias Pais
Tiago J. Dias
Jacinto C. Nascimento
Pedro Miraldo
16
11
0
02 Mar 2019
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Large-Scale Object Mining for Object Discovery from Unlabeled Video
Aljosa Osep
P. Voigtlaender
Jonathon Luiten
Stefan Breuers
Bastian Leibe
52
24
0
28 Feb 2019
Semantic Hierarchical Priors for Intrinsic Image Decomposition
Semantic Hierarchical Priors for Intrinsic Image Decomposition
Saurabh Saini
P. J. Narayanan
9
7
0
11 Feb 2019
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider
  Pedestrian Detection Challenge
Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
Md Ashraful Alam Milton
9
3
0
04 Feb 2019
A pooling based scene text proposal technique for scene text reading in
  the wild
A pooling based scene text proposal technique for scene text reading in the wild
D. Van
Shijian Lu
Shangxuan Tian
Nizar Ouarti
Mounir Mokhtari
27
16
0
25 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
34
123
0
10 Sep 2018
State-aware Anti-drift Robust Correlation Tracking
State-aware Anti-drift Robust Correlation Tracking
Yuqi Han
Chenwei Deng
Zengshuo Zhang
Dacheng Tao
Baojun Zhao
13
46
0
28 Jun 2018
Correlation Tracking via Robust Region Proposals
Correlation Tracking via Robust Region Proposals
Yuqi Han
Jinghong Nan
Zengshuo Zhang
Jingjing Wang
Baojun Zhao
12
1
0
14 Jun 2018
Model-based active learning to detect isometric deformable objects in
  the wild with deep architectures
Model-based active learning to detect isometric deformable objects in the wild with deep architectures
Shrinivasan Sankar
Adrien Bartoli
ObjD
24
2
0
07 Jun 2018
Weakly Supervised Representation Learning for Unsynchronized
  Audio-Visual Events
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events
Sanjeel Parekh
S. Essid
A. Ozerov
Ngoc Q. K. Duong
P. Pérez
G. Richard
SSL
22
19
0
19 Apr 2018
Large-Scale Object Discovery and Detector Adaptation from Unlabeled
  Video
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video
Aljosa Osep
P. Voigtlaender
Jonathon Luiten
Stefan Breuers
Bastian Leibe
ObjD
73
11
0
23 Dec 2017
ME R-CNN: Multi-Expert R-CNN for Object Detection
ME R-CNN: Multi-Expert R-CNN for Object Detection
Hyungtae Lee
Sungmin Eum
H. Kwon
ObjD
32
63
0
04 Apr 2017
SUM: Sequential Scene Understanding and Manipulation
SUM: Sequential Scene Understanding and Manipulation
Zhiqiang Sui
Zheming Zhou
Zhen Zeng
Odest Chadwicke Jenkins
30
31
0
22 Mar 2017
Geometry-Based Region Proposals for Real-Time Robot Detection of
  Tabletop Objects
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
Alexander Broad
B. Argall
3DPC
26
0
0
14 Mar 2017
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Marvin Teichmann
Michael Weber
Johann Marius Zöllner
R. Cipolla
R. Urtasun
SSeg
27
697
0
22 Dec 2016
Active Object Localization in Visual Situations
Active Object Localization in Visual Situations
Max H. Quinn
A. Rhodes
Melanie Mitchell
34
7
0
02 Jul 2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out
  Localization
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris
N. Komodakis
ObjD
30
79
0
14 Jun 2016
Selective Unsupervised Feature Learning with Convolutional Neural
  Network (S-CNN)
Selective Unsupervised Feature Learning with Convolutional Neural Network (S-CNN)
Amir Ghaderi
V. Athitsos
SSL
OOD
11
18
0
07 Jun 2016
Beyond Local Search: Tracking Objects Everywhere with Instance-Specific
  Proposals
Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals
Gao Zhu
Fatih Porikli
Hongdong Li
9
200
0
06 May 2016
Actionness Estimation Using Hybrid Fully Convolutional Networks
Actionness Estimation Using Hybrid Fully Convolutional Networks
Limin Wang
Yu Qiao
Xiaoou Tang
Luc Van Gool
18
98
0
25 Apr 2016
CRAFT Objects from Images
CRAFT Objects from Images
Bin Yang
Junjie Yan
Zhen Lei
Stan Z. Li
ObjD
27
123
0
12 Apr 2016
TextProposals: a Text-specific Selective Search Algorithm for Word
  Spotting in the Wild
TextProposals: a Text-specific Selective Search Algorithm for Word Spotting in the Wild
Lluís Gómez
Dimosthenis Karatzas
OOD
15
110
0
10 Apr 2016
Detecting Temporally Consistent Objects in Videos through Object Class
  Label Propagation
Detecting Temporally Consistent Objects in Videos through Object Class Label Propagation
Subarna Tripathi
Serge J. Belongie
Youngbae Hwang
Truong Thao Nguyen
22
17
0
20 Jan 2016
Evaluation of Object Detection Proposals Under Condition Variations
Evaluation of Object Detection Proposals Under Condition Variations
Fahimeh Rezazadegan
S. Shirazi
Michael Milford
B. Upcroft
ObjD
13
3
0
10 Dec 2015
WIDER FACE: A Face Detection Benchmark
WIDER FACE: A Face Detection Benchmark
Shuo Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
33
1,588
0
20 Nov 2015
Active Object Localization with Deep Reinforcement Learning
Active Object Localization with Deep Reinforcement Learning
Juan C. Caicedo
Svetlana Lazebnik
ObjD
29
444
0
18 Nov 2015
Sequential Optimization for Efficient High-Quality Object Proposal
  Generation
Sequential Optimization for Efficient High-Quality Object Proposal Generation
Ziming Zhang
Yun-Hai Liu
Xi Chen
Y. Zhu
Ming-Ming Cheng
Venkatesh Saligrama
Philip Torr
35
39
0
14 Nov 2015
Recovering hard-to-find object instances by sampling context-based
  object proposals
Recovering hard-to-find object instances by sampling context-based object proposals
José Oramas
Tinne Tuytelaars
46
8
0
05 Nov 2015
Efficient Object Detection for High Resolution Images
Efficient Object Detection for High Resolution Images
Y. Lu
T. Javidi
ObjD
38
11
0
05 Oct 2015
Deep Attributes from Context-Aware Regional Neural Codes
Deep Attributes from Context-Aware Regional Neural Codes
Jianwei Luo
Jianguo Li
Jun Wang
Zhi-guo Jiang
Yurong Chen
ObjD
10
6
0
08 Sep 2015
Object Proposals for Text Extraction in the Wild
Object Proposals for Text Extraction in the Wild
L. G. I. Bigorda
Dimosthenis Karatzas
12
19
0
08 Sep 2015
Learning Sampling Distributions for Efficient Object Detection
Learning Sampling Distributions for Efficient Object Detection
Yanwei Pang
Jiale Cao
Xuelong Li
24
48
0
23 Aug 2015
Online Domain Adaptation for Multi-Object Tracking
Online Domain Adaptation for Multi-Object Tracking
Adrien Gaidon
E. Vig
34
25
0
04 Aug 2015
Tracking Randomly Moving Objects on Edge Box Proposals
Tracking Randomly Moving Objects on Edge Box Proposals
Gao Zhu
Fatih Porikli
Hongdong Li
21
55
0
29 Jul 2015
Diagnosing State-Of-The-Art Object Proposal Methods
Diagnosing State-Of-The-Art Object Proposal Methods
Erik Cambria
Shijian Lu
Jianfei Cai
G. Lee
14
11
0
16 Jul 2015
Monocular SLAM Supported Object Recognition
Monocular SLAM Supported Object Recognition
Sudeep Pillai
J. Leonard
28
138
0
04 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
275
61,736
0
04 Jun 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability
  to Manage Nuisance Location and Scale Variability
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
Nikolaos Karianakis
Jingming Dong
Stefano Soatto
30
15
0
26 May 2015
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