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Models/Cascade R-CNN + NWD

Cascade R-CNN + NWD

Reported on 20 benchmarks across 5 tasks · 1 paper · 20 SOTA

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

Methodology16 results

3DonVisDrone-DET2019
AP50· 2021-10-26
40.3
best: 58.3 (CZ Det.)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
3DonVisDrone-DET2019
APs· 2021-10-26
22.2
best: 24.5 (LEGNet-S)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
3DonVisDrone-DET2019
APt· 2021-10-26
11.1
best: 12.9 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
3DonVisDrone-DET2019
APvt· 2021-10-26
2.9
best: 4.5 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D ClassificationonVisDrone-DET2019
AP50· 2021-10-26
40.3
best: 58.3 (CZ Det.)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D ClassificationonVisDrone-DET2019
APs· 2021-10-26
22.2
best: 24.5 (LEGNet-S)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D ClassificationonVisDrone-DET2019
APt· 2021-10-26
11.1
best: 12.9 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D ClassificationonVisDrone-DET2019
APvt· 2021-10-26
2.9
best: 4.5 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D Object DetectiononVisDrone-DET2019
AP50· 2021-10-26
40.3
best: 58.3 (CZ Det.)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D Object DetectiononVisDrone-DET2019
APs· 2021-10-26
22.2
best: 24.5 (LEGNet-S)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D Object DetectiononVisDrone-DET2019
APt· 2021-10-26
11.1
best: 12.9 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
2D Object DetectiononVisDrone-DET2019
APvt· 2021-10-26
2.9
best: 4.5 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
16konVisDrone-DET2019
AP50· 2021-10-26
40.3
best: 58.3 (CZ Det.)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
16konVisDrone-DET2019
APs· 2021-10-26
22.2
best: 24.5 (LEGNet-S)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
16konVisDrone-DET2019
APt· 2021-10-26
11.1
best: 12.9 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
16konVisDrone-DET2019
APvt· 2021-10-26
2.9
best: 4.5 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389

Computer Vision4 results

Object DetectiononVisDrone-DET2019
AP50· 2021-10-26
40.3
best: 58.3 (CZ Det.)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
Object DetectiononVisDrone-DET2019
APs· 2021-10-26
22.2
best: 24.5 (LEGNet-S)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
Object DetectiononVisDrone-DET2019
APt· 2021-10-26
11.1
best: 12.9 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389
Object DetectiononVisDrone-DET2019
APvt· 2021-10-26
2.9
best: 4.5 (DetectoRS w/ RFLA)
SOTA
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection arXiv:2110.13389