ConvNet

Reported on 5 benchmarks across 4 tasks · 2 papers · 5 SOTA

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

Natural Language Processing2 results

Common Sense ReasoningonEvent2Mind dev
Average Cross-Ent· 2018-05-17
4.44
SOTA
Event2Mind: Commonsense Inference on Events, Intents, and Reactions arXiv:1805.06939
Common Sense ReasoningonEvent2Mind test
Average Cross-Ent· 2018-05-17
4.4
SOTA
Event2Mind: Commonsense Inference on Events, Intents, and Reactions arXiv:1805.06939

Computer Vision1 result

Pose Estimationon Pascal3D+
Mean PCK· 2014-11-04
48.5
best: 82.5 (ConvNet + deformable shape model)
SOTA
Do Convnets Learn Correspondence?arXiv:1411.1091

Methodology1 result

3Don Pascal3D+
Mean PCK· 2014-11-04
48.5
best: 82.5 (ConvNet + deformable shape model)
SOTA
Do Convnets Learn Correspondence?arXiv:1411.1091

Audio1 result

1 Image, 2*2 Stitchion Pascal3D+
Mean PCK· 2014-11-04
48.5
best: 82.5 (ConvNet + deformable shape model)
SOTA
Do Convnets Learn Correspondence?arXiv:1411.1091