LRPz

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

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

Methodology4 results

3DonSIXray
1 in 10 R@5· 2019-10-22
0.01347
best: 0.073 (Optim [39] Lpixel)
SOTA
Towards Best Practice in Explaining Neural Network Decisions with LRP arXiv:1910.09840
2D ClassificationonSIXray
1 in 10 R@5· 2019-10-22
0.01347
best: 0.073 (Optim [39] Lpixel)
SOTA
Towards Best Practice in Explaining Neural Network Decisions with LRP arXiv:1910.09840
2D Object DetectiononSIXray
1 in 10 R@5· 2019-10-22
0.01347
best: 0.073 (Optim [39] Lpixel)
SOTA
Towards Best Practice in Explaining Neural Network Decisions with LRP arXiv:1910.09840
16konSIXray
1 in 10 R@5· 2019-10-22
0.01347
best: 0.073 (Optim [39] Lpixel)
SOTA
Towards Best Practice in Explaining Neural Network Decisions with LRP arXiv:1910.09840

Computer Vision1 result

Object DetectiononSIXray
1 in 10 R@5· 2019-10-22
0.01347
best: 0.073 (Optim [39] Lpixel)
SOTA
Towards Best Practice in Explaining Neural Network Decisions with LRP arXiv:1910.09840