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VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph
Published on Jun 17, 202435 Views
The availability of vast amounts of visual data with diverse and fruitful features is a key factor for developing, verifying, and benchmarking advanced computer vision (CV) algorithms and architecture
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Chapter list
VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph00:00
ML with Visual Data: Cumbersome - 100:41
ML with Visual Data: Cumbersome - 201:00
ML with Visual Data: Cumbersome - 301:37
ML with Visual Data: Cumbersome - 401:58
ML with Visual Data: Cumbersome - 502:10
Vision Knowledge Graph as a Solution02:36
Unified Data Schema - 103:01
Unified Data Schema - 203:12
Unified Data Schema - 304:39
Visual Assets in VisionKG - 104:56
Visual Assets in VisionKG - 205:37
Visual Assets in VisionKG - 306:21
Visual Assets in VisionKG - 407:20
Visual Assets in VisionKG - 507:36
Construct composite datasets - 107:56
Construct composite datasets - 208:46
Construct composite datasets - 309:06
KG-based Label Alignment - 109:47
KG-based Label Alignment - 210:09
KG-based Label Alignment - 311:21
NL2SPARQL Generator - 111:43
NL2SPARQL Generator - 211:58
NL2SPARQL Generator - 312:46
VisionKG towards ML Pipelines - 112:54
VisionKG towards ML Pipelines - 213:23
VisionKG towards ML Pipelines - 313:44
VisionKG Contributions14:04
Thank you15:18