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Models/DAVENet

DAVENet

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical4 results

Semantic SegmentationonADE20K
mAP· 2018-04-04
32.2
best: 48.7 (DenseAV)
SOTA
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452
Semantic SegmentationonADE20K
mIoU· 2018-04-04
26.3
best: 45.7 (MBS)
SOTA
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452
Semantic SegmentationonADE20K
mAP· 2018-04-04
16.8
best: 48.7 (DenseAV)
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452
Semantic SegmentationonADE20K
mIoU· 2018-04-04
18.1
best: 45.7 (MBS)
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452

Audio4 results

10-shot image generationonADE20K
mAP· 2018-04-04
32.2
best: 48.7 (DenseAV)
SOTA
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452
10-shot image generationonADE20K
mIoU· 2018-04-04
26.3
best: 45.7 (MBS)
SOTA
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452
10-shot image generationonADE20K
mAP· 2018-04-04
16.8
best: 48.7 (DenseAV)
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452
10-shot image generationonADE20K
mIoU· 2018-04-04
18.1
best: 45.7 (MBS)
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input arXiv:1804.01452