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LSDA: Large Scale Detection Through Adaptation

LSDA: Large Scale Detection Through Adaptation

18 July 2014
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
    ObjD
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Papers citing "LSDA: Large Scale Detection Through Adaptation"

50 / 151 papers shown
Title
Action Classification and Highlighting in Videos
Action Classification and Highlighting in Videos
Atousa Torabi
Leonid Sigal
21
5
0
31 Aug 2017
Deep Object-Centric Representations for Generalizable Robot Learning
Deep Object-Centric Representations for Generalizable Robot Learning
Coline Devin
Pieter Abbeel
Trevor Darrell
Sergey Levine
SSL
OCL
12
106
0
14 Aug 2017
Partial Transfer Learning with Selective Adversarial Networks
Partial Transfer Learning with Selective Adversarial Networks
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Michael I. Jordan
GAN
19
438
0
25 Jul 2017
Few-Example Object Detection with Model Communication
Few-Example Object Detection with Model Communication
Xuanyi Dong
Liang Zheng
Fan Ma
Yi Yang
Deyu Meng
ObjD
VLM
24
158
0
26 Jun 2017
Object Detection Using Deep CNNs Trained on Synthetic Images
Object Detection Using Deep CNNs Trained on Synthetic Images
Param S. Rajpura
Hristo Bojinov
R. Hegde
22
74
0
21 Jun 2017
Conditional Adversarial Domain Adaptation
Conditional Adversarial Domain Adaptation
Mingsheng Long
Zhangjie Cao
Jianmin Wang
Michael I. Jordan
GAN
38
36
0
26 May 2017
Training object class detectors with click supervision
Training object class detectors with click supervision
P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLM
ObjD
22
23
0
20 Apr 2017
Deep Self-Taught Learning for Weakly Supervised Object Localization
Deep Self-Taught Learning for Weakly Supervised Object Localization
Zequn Jie
Yunchao Wei
Xiaojie Jin
Jiashi Feng
Wen Liu
SSL
WSOL
6
194
0
18 Apr 2017
Weakly-Supervised Spatial Context Networks
Weakly-Supervised Spatial Context Networks
Zuxuan Wu
L. Davis
Leonid Sigal
SSL
3DPC
14
1
0
10 Apr 2017
Generating Descriptions with Grounded and Co-Referenced People
Generating Descriptions with Grounded and Co-Referenced People
Anna Rohrbach
Marcus Rohrbach
Siyu Tang
Seong Joon Oh
Bernt Schiele
330
72
0
05 Apr 2017
Weakly Supervised Object Localization Using Things and Stuff Transfer
Weakly Supervised Object Localization Using Things and Stuff Transfer
Miaojing Shi
Holger Caesar
V. Ferrari
24
74
0
23 Mar 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
60
2,926
0
20 Mar 2017
Weakly- and Semi-Supervised Object Detection with
  Expectation-Maximization Algorithm
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm
Ziang Yan
Jian Liang
Weishen Pan
Jin Li
Changshui Zhang
VLM
WSOD
34
46
0
28 Feb 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey
Domain Adaptation for Visual Applications: A Comprehensive Survey
G. Csurka
OOD
30
505
0
17 Feb 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
19
786
0
08 Dec 2016
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
246
812
0
13 Nov 2016
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation
  for Random Forest
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest
A. Mozafari
David Vazquez
M. Jamzad
Antonio M. López
TTA
21
1
0
09 Nov 2016
Combining Texture and Shape Cues for Object Recognition With Minimal
  Supervision
Combining Texture and Shape Cues for Object Recognition With Minimal Supervision
Xingchao Peng
Kate Saenko
3DPC
22
4
0
14 Sep 2016
Multi-stage Object Detection with Group Recursive Learning
Multi-stage Object Detection with Group Recursive Learning
Jianan Li
Xiaodan Liang
Jianshu Li
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
24
50
0
18 Aug 2016
Weakly Supervised Object Localization Using Size Estimates
Weakly Supervised Object Localization Using Size Estimates
Miaojing Shi
V. Ferrari
WSOL
22
80
0
15 Aug 2016
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple
  Objects
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects
Margret Keuper
Siyu Tang
Zhongjie Yu
Bjoern Andres
Thomas Brox
Bernt Schiele
21
90
0
21 Jul 2016
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Enlightening Deep Neural Networks with Knowledge of Confounding Factors
Yu Zhong
G. Ettinger
32
25
0
08 Jul 2016
Learning the semantic structure of objects from Web supervision
Learning the semantic structure of objects from Web supervision
David Novotny
Diane Larlus
Andrea Vedaldi
OCL
13
7
0
05 Jul 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSOD
SSL
33
116
0
24 May 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
53
2,435
0
21 May 2016
Movie Description
Movie Description
Anna Rohrbach
Atousa Torabi
Marcus Rohrbach
Niket Tandon
C. Pal
Hugo Larochelle
Aaron Courville
Bernt Schiele
3DV
VGen
32
354
0
12 May 2016
Attributes as Semantic Units between Natural Language and Visual
  Recognition
Attributes as Semantic Units between Natural Language and Visual Recognition
Marcus Rohrbach
VLM
22
3
0
12 Apr 2016
We don't need no bounding-boxes: Training object class detectors using
  only human verification
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLM
ObjD
26
138
0
26 Feb 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
45
1,480
0
14 Feb 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
16
173
0
24 Dec 2015
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo
  Streams Segmentation
SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation
Mariella Dimiccoli
Marc Bolaños
Estefanía Talavera
Maedeh Aghaei
S. G. Nikolov
Petia Radeva
EgoV
19
55
0
22 Dec 2015
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Francisco Massa
Bryan C. Russell
Mathieu Aubry
3DV
ObjD
25
101
0
08 Dec 2015
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
57
1,088
0
18 Nov 2015
Deep Compositional Captioning: Describing Novel Object Categories
  without Paired Training Data
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
CoGe
16
284
0
17 Nov 2015
Natural Language Object Retrieval
Natural Language Object Retrieval
Ronghang Hu
Huazhe Xu
Marcus Rohrbach
Jiashi Feng
Kate Saenko
Trevor Darrell
ObjD
46
551
0
13 Nov 2015
Semantic Summarization of Egocentric Photo Stream Events
Semantic Summarization of Egocentric Photo Stream Events
Aniol Lidon
Marc Bolaños
Mariella Dimiccoli
Petia Radeva
M. Garolera
Xavier Giró-i-Nieto
EgoV
46
23
0
02 Nov 2015
Spatial Semantic Regularisation for Large Scale Object Detection
Spatial Semantic Regularisation for Large Scale Object Detection
Damian Mrowca
Marcus Rohrbach
Judy Hoffman
Ronghang Hu
Kate Saenko
Trevor Darrell
ObjD
11
25
0
10 Oct 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
24
1,364
0
08 Oct 2015
Subspace Alignment Based Domain Adaptation for RCNN Detector
Subspace Alignment Based Domain Adaptation for RCNN Detector
Anant Raj
Vinay P. Namboodiri
Tinne Tuytelaars
ObjD
15
73
0
20 Jul 2015
Cross Modal Distillation for Supervision Transfer
Cross Modal Distillation for Supervision Transfer
Saurabh Gupta
Judy Hoffman
Jitendra Malik
56
534
0
02 Jul 2015
Learning Multiple Tasks with Multilinear Relationship Networks
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long
Zhangjie Cao
Jianmin Wang
Philip S. Yu
37
98
0
06 Jun 2015
The Long-Short Story of Movie Description
The Long-Short Story of Movie Description
Anna Rohrbach
Marcus Rohrbach
Bernt Schiele
VLM
33
110
0
04 Jun 2015
A Deeper Look at Dataset Bias
A Deeper Look at Dataset Bias
Tatiana Tommasi
Novi Patricia
Barbara Caputo
Tinne Tuytelaars
33
328
0
06 May 2015
Pose Induction for Novel Object Categories
Pose Induction for Novel Object Categories
Shubham Tulsiani
João Carreira
Jitendra Malik
28
35
0
01 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
117
5,150
0
10 Feb 2015
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
SSeg
52
915
0
09 Feb 2015
A Dataset for Movie Description
A Dataset for Movie Description
Anna Rohrbach
Marcus Rohrbach
Niket Tandon
Bernt Schiele
VGen
54
497
0
12 Jan 2015
Learning to Segment Moving Objects in Videos
Learning to Segment Moving Objects in Videos
Katerina Fragkiadaki
Pablo Arbeláez
Panna Felsen
Jitendra Malik
VOS
27
11
0
19 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
54
2,582
0
10 Dec 2014
Detector Discovery in the Wild: Joint Multiple Instance and
  Representation Learning
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
Judy Hoffman
Deepak Pathak
Trevor Darrell
Kate Saenko
31
77
0
02 Dec 2014
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