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Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion
Published on 2016-10-242065 Views
Visual recognition systems mounted on autonomous moving agents face the challenge of unconstrained data, but simultaneously have the opportunity to improve their performance by moving to acquire new v
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Presentation
Look-ahead before you leap: End-to-end active recognition by forecasting the effect of motion00:00
Status quo: passive snapshot recognition/100:13
Status quo: passive snapshot recognition/200:22
Status quo: passive snapshot recognition/300:33
The active recognition setting/101:00
The active recognition setting/201:04
The active recognition setting/301:07
The active recognition setting/401:14
The active recognition setting/501:21
Active vs. passive recognition/101:25
Active vs. passive recognition/201:30
Active vs. passive recognition/301:46
Components of active recognition/102:02
Components of active recognition/202:08
Components of active recognition/302:09
Components of active recognition/402:12
Components of active recognition/502:14
Components of active recognition/602:17
Components of active recognition/702:19
Components of active recognition/802:24
Components of active recognition/902:29
Components of active recognition/1002:40
Prior active recognition approaches/102:46
Prior active recognition approaches/202:50
Our idea/103:41
Our idea/203:52
Our idea/304:06
Our idea/404:25
Towards real-world active recognition/104:31
Towards real-world active recognition/204:42
Towards real-world active recognition/304:49
High-level architecture/105:18
High-level architecture/205:25
The modules06:14
Perception module - SENSOR/106:16
Perception module - SENSOR/206:21
Perception module - SENSOR/306:23
Perception module - SENSOR/406:24
Evidence fusion - AGGREGATOR/106:28
Evidence fusion - AGGREGATOR/206:32
Evidence fusion - AGGREGATOR/306:35
Evidence fusion - AGGREGATOR/406:38
Future prediction – LOOKAHEAD/106:42
Future prediction – LOOKAHEAD/206:44
Future prediction – LOOKAHEAD/306:52
Future prediction – LOOKAHEAD/407:01
Future prediction – LOOKAHEAD/507:13
Action selection - ACTOR07:28
Classification – CLASSIFIER07:46
Training07:52
Experiments/108:21
Experiments/208:37
Experiments/308:58
Experiments/409:12
Quantitative results/109:23
Quantitative results/210:08
Quantitative results/310:14
Quantitative results/410:43
Active recognition: results/110:53
Active recognition: results/210:56
Active recognition: results/311:02
Active recognition: results/411:11
Active recognition: results/511:16
Active recognition: results/611:32
Active recognition: results/711:36
Active recognition: results/811:56
Active recognition: results/911:58
Active recognition: results/1012:10
Active recognition: results/1112:18
Summary12:26