0.25
0.5
0.75
1.25
1.5
1.75
2
Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects
Published on Jul 10, 2018644 Views
Images on the Web encapsulate diverse knowledge about varied abstract concepts. They cannot be sufficiently described with models learned from image-caption pairs that mention only a small number of v
Related categories
Chapter list
Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects - 100:00
Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects - 200:33
Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects - 301:03
Knowledge Guided Attention and Inference for Describing Images Containing Unseen Objects - 402:31
Knowledge guided attention and inference - 103:16
Visual Object Detection03:31
Description Generation for Images04:22
Challenge - Missing Captions for Images05:16
Related Work06:01
Missing in Related Work06:25
Knowledge guided attention and inference - 207:17
Our Contributions07:22
Knowledge-Guided Assistance Caption Generation (KGA-CGM)07:43
External Sematic Attention10:14
TSV Layer11:24
Inference – Generating unseen objects12:58
Evaluation14:40
Evaluation Setup14:55
Qualitative Results - 116:18
Qualitative Results- 217:21
Qualitative Results - 318:06
Scaling it by an order of magnitude18:37
Quantitative Analyse: Out-of-domain Objektbeschreibung - 119:33
Quantitative Analyse: Out-of-domain Objektbeschreibung - 220:11
Reserences and questions20:31