BUCTD-preNet-W48 (DLCRNet)

Reported on 4 benchmarks across 4 tasks · 1 paper

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

Computer Vision2 results

Pose EstimationonFish-100
mAP· 2023-06-13
88.7
best: 89.1 (HRNet-W48 + Faster R-CNN)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879
Animal Pose EstimationonFish-100
mAP· 2023-06-13
88.7
best: 89.1 (HRNet-W48 + Faster R-CNN)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879

Methodology1 result

3DonFish-100
mAP· 2023-06-13
88.7
best: 89.1 (HRNet-W48 + Faster R-CNN)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879

Audio1 result

1 Image, 2*2 StitchionFish-100
mAP· 2023-06-13
88.7
best: 89.1 (HRNet-W48 + Faster R-CNN)
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity arXiv:2306.07879