ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.04672
  4. Cited By
Object Detection as a Positive-Unlabeled Problem

Object Detection as a Positive-Unlabeled Problem

11 February 2020
Yuewei Yang
Kevin J. Liang
Lawrence Carin
ArXivPDFHTML

Papers citing "Object Detection as a Positive-Unlabeled Problem"

32 / 32 papers shown
Title
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional
  Object Detection of Threats in X-Ray Images
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images
J. Sigman
Gregory P. Spell
Kevin J. Liang
Lawrence Carin
ObjD
30
18
0
02 Oct 2020
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
100
723
0
12 Dec 2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
61
17
0
06 Dec 2018
Soft Sampling for Robust Object Detection
Soft Sampling for Robust Object Detection
Zhe Wu
Navaneeth Bodla
Bharat Singh
Mahyar Najibi
Rama Chellappa
L. Davis
ObjD
39
72
0
18 Jun 2018
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised
  Object Detection
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
Yuxing Tang
Josiah Wang
Xiaofang Wang
Boyang Gao
Emmanuel Dellandrea
R. Gaizauskas
Liming Chen
ObjD
44
115
0
09 Jan 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
88
1,448
0
14 Dec 2017
DeepLesion: Automated Deep Mining, Categorization and Detection of
  Significant Radiology Image Findings using Large-Scale Clinical Lesion
  Annotations
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
Ke Yan
Xiaosong Wang
Le Lu
Ronald M. Summers
MedIm
54
55
0
04 Oct 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
102
4,201
0
25 Jul 2017
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual
  Actions
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu
Chen Sun
David A. Ross
Carl Vondrick
C. Pantofaru
...
G. Toderici
Susanna Ricco
Rahul Sukthankar
Cordelia Schmid
Jitendra Malik
VGen
87
1,021
0
23 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
300
27,018
0
20 Mar 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
60
471
0
02 Mar 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
82
476
0
06 Jan 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
155
15,573
0
25 Dec 2016
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
418
21,951
0
09 Dec 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
264
4,620
0
10 Nov 2016
Estimating the class prior and posterior from noisy positives and
  unlabeled data
Estimating the class prior and posterior from noisy positives and unlabeled data
Shantanu Jain
Martha White
P. Radivojac
NoLa
25
122
0
28 Jun 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
110
5,627
0
20 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
312
37,704
0
20 May 2016
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees
Amir Zamir
Yu-Gang Jiang
Alexander N. Gorban
Ivan Laptev
Rahul Sukthankar
M. Shah
68
776
0
21 Apr 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
167
5,706
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
144
29,646
0
08 Dec 2015
Weakly Supervised Deep Detection Networks
Weakly Supervised Deep Detection Networks
Hakan Bilen
Andrea Vedaldi
WSOD
52
784
0
09 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
561
36,643
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
410
61,900
0
04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
145
5,421
0
03 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
277
24,976
0
30 Apr 2015
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
69
334
0
18 Jul 2014
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
252
43,290
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
222
26,122
0
11 Nov 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIP
VGen
94
6,100
0
03 Dec 2012
1