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Enhancing Exemplar SVMs using Part Level Transfer Regularization

Published on Oct 09, 20125661 Views

Exemplar SVMs (E-SVMs, Malisiewicz et al, ICCV 2011), where a SVM is trained with only a single positive sample, have found applications in the areas of object detection and Content-Based Image Retr

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Chapter list

Enhancing Exemplar SVMs using Part Level Transfer Regularization00:00
Problem Definition: Image Retrieval (1)00:06
Problem Definition: Image Retrieval (2)00:15
Problem Definition: Image Retrieval (3)00:20
Exemplar SVM (E-SVM) (1)00:43
Exemplar SVM (E-SVM) (2)01:10
Exemplar SVM (E-SVM) (3)01:34
Exemplar SVM (E-SVM) (4)01:46
Enhanced Exemplar SVM (EE-SVM) (1)01:49
Enhanced Exemplar SVM (EE-SVM) (2)02:54
Overview (1)03:31
Transfer Learning in Computer Vision03:44
Transfer Learning for Detection04:06
Overview (2)05:12
Enhanced Exemplar SVM (EE-SVM) (3)05:15
Enhanced Exemplar SVM (EE-SVM) (4)05:32
Part-Level Transfer Regularization (1)06:08
Part-Level Transfer Regularization (2)06:22
Part-Level Transfer Regularization (3)06:39
Part-Level Transfer Regularization (4)07:07
Part-Level Transfer Regularization (5)07:35
Part-Level Transfer Regularization (6)07:44
Part-Level Transfer Regularization (7)07:49
Matching Classifier Patches08:19
Part-Level Transfer Regularization (8)08:59
Part-Level Transfer Regularization (9)10:32
Results - Left Facing Horse11:27
Results - Left Facing Bicycle12:31
Visual Phrase – Riding Horse12:58
Unusual Pose - Bicycle13:07
Overview (3)13:25
Transfer vs. Feature Augmentation (1)13:31
Transfer vs. Feature Augmentation (2)13:45
Transfer vs. Feature Augmentation (3)14:50
Overview (4)15:56
Quantitative Results (1)15:59
Quantitative Results (2)16:22
Handling Occlusions16:43
Handling Truncation17:06
Conclusions17:36