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Unsupervised Hard Example Mining from Videos for Improved Object
  Detection

Unsupervised Hard Example Mining from Videos for Improved Object Detection

13 August 2018
SouYoung Jin
Aruni RoyChowdhury
Huaizu Jiang
Ashish Singh
Aditya Prasad
Deep Chakraborty
Erik Learned-Miller
    ObjD
ArXivPDFHTML

Papers citing "Unsupervised Hard Example Mining from Videos for Improved Object Detection"

20 / 20 papers shown
Title
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining
Lu Dong
Han Zhang
Hongjie Zhang
Yuanmin Huang
Z. Ling
Yu Qiao
Limin Wang
Yishuo Wang
AI4TS
48
0
0
10 May 2025
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Global Renewables Watch: A Temporal Dataset of Solar and Wind Energy Derived from Satellite Imagery
Caleb Robinson
Anthony Ortiz
Allen Kim
Rahul Dodhia
Andrew Zolli
Shivaprakash K. Nagaraju
J. O
J. Kiesecker
J. L. Ferres
66
0
0
19 Mar 2025
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
Huanzhang Dou
Pengyi Zhang
Yuhan Zhao
Lin Dong
Zequn Qin
Xi Li
CVBM
VLM
41
24
0
06 Jun 2023
Conditional Online Learning for Keyword Spotting
Conditional Online Learning for Keyword Spotting
Michel C. Meneses
Bruno Iwami
CLL
11
0
0
19 May 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and
  Anatomy-specific Representation for 3D Medical Images
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images
K. Yu
Li Sun
Junxiang Chen
Maxwell Reynolds
Tigmanshu Chaudhary
Kayhan Batmanghelich
27
1
0
21 Feb 2023
Instance-specific and Model-adaptive Supervision for Semi-supervised
  Semantic Segmentation
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Zhen Zhao
Sifan Long
Jimin Pi
Jingdong Wang
Luping Zhou
34
29
0
21 Nov 2022
N-RPN: Hard Example Learning for Region Proposal Networks
N-RPN: Hard Example Learning for Region Proposal Networks
Myeongah Cho
Tae-Young Chung
Hyeongmin Lee
Sangyoun Lee
SSeg
21
6
0
03 Aug 2022
Improved Hard Example Mining Approach for Single Shot Object Detectors
Improved Hard Example Mining Approach for Single Shot Object Detectors
Aybora Koksal
Onder Tuzcuoglu
K. G. Ince
Y. Ataseven
A. Aydin Alatan
ObjD
22
6
0
26 Feb 2022
An Artificial Intelligence Dataset for Solar Energy Locations in India
An Artificial Intelligence Dataset for Solar Energy Locations in India
Anthony Ortiz
D. Negandhi
S. Mysorekar
J. Kiesecker
Shivaprakash K. Nagaraju
...
Priyal Bhatia
A. Khurana
Jane Wang
Felipe Oviedo
J. L. Ferres
31
22
0
31 Jan 2022
Self-supervised Video Representation Learning with Cascade Positive
  Retrieval
Self-supervised Video Representation Learning with Cascade Positive Retrieval
Cheng-En Wu
Farley Lai
Yujie Hu
Asim Kadav
SSL
AI4TS
30
3
0
20 Jan 2022
Robust Contrastive Learning Using Negative Samples with Diminished
  Semantics
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge
Shlok Kumar Mishra
Haohan Wang
Chun-Liang Li
David Jacobs
SSL
24
71
0
27 Oct 2021
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
A. Luu
26
56
0
25 Oct 2021
Multi-Object Tracking with Hallucinated and Unlabeled Videos
Multi-Object Tracking with Hallucinated and Unlabeled Videos
Daniel McKee
Bing Shuai
Andrew G. Berneshawi
Manchen Wang
Davide Modolo
Svetlana Lazebnik
Joseph Tighe
VOT
19
7
0
19 Aug 2021
Semi-Automatic Annotation For Visual Object Tracking
Semi-Automatic Annotation For Visual Object Tracking
K. G. Ince
Aybora Koksal
Arda Fazla
A. Aydin Alatan
19
12
0
18 Jan 2021
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
75
759
0
09 Oct 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels
  for Universal Lesion Detection in CT
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
K. Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
D. Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lu
42
84
0
05 Sep 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
18
17
0
28 May 2020
Model Assertions for Monitoring and Improving ML Models
Model Assertions for Monitoring and Improving ML Models
Daniel Kang
Deepti Raghavan
Peter Bailis
Matei A. Zaharia
13
58
0
03 Mar 2020
Do Image Classifiers Generalize Across Time?
Do Image Classifiers Generalize Across Time?
Vaishaal Shankar
Achal Dave
Rebecca Roelofs
Deva Ramanan
Benjamin Recht
Ludwig Schmidt
20
82
0
05 Jun 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
29
24
0
28 Feb 2019
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