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Visual Relationship Detection with Language Priors
Published on Oct 24, 20164320 Views
Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. "man riding bicycle" and "man pushing bicycle"). Consequently, the set of possible relationships is
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Chapter list
Visual Relationship Detection with Language Priors00:00
Images/100:08
Images/200:31
Example/100:43
Example/200:53
Problem formulation/101:12
Problem formulation/201:20
Problem formulation/301:24
Problem formulation/401:34
Problem formulation/501:43
Related work/101:49
Related work/202:26
Visual Genome dataset02:35
Observation 102:49
Observation #2/103:29
Observation #2/203:37
Observation #2/303:43
Visual module/Language module/104:00
Visual module/Language module/204:16
Visual module/Language module/304:21
Visual module/Language module/404:26
Visual module/Language module/504:42
Visual module/Language module/605:01
Visual module/Language module/705:15
Visual module/Language module/805:33
Visual module/Language module/905:45
Visual module/Language module/1005:54
Quadratic explosion06:26
Long tail distribution06:37
Training the visual module/107:09
Training the visual module/207:22
Training the visual module/307:28
Training the visual module/407:34
Training the language module/107:44
Training the language module/208:05
Training the language module/308:19
Training the language module/408:26
Training both modules iteratively08:36
Our results/108:45
Our results/208:53
Our results/309:03
Our results/409:07
Our results/509:18
Our results/609:25
Our results/709:34
Ablation study/109:44
Ablation study/209:57
Ablation study/310:09
Ablation study/410:19
Example/110:32
Example/210:42
Zero shot detection/111:01
Zero shot detection/211:26
Zero shot detection/311:32
Zero shot detection/411:42
Thank you!11:49