TASN

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

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

Computer Vision4 results

Image ClassificationoniNaturalist
Top 1 Accuracy· 2019-03-14
68.2
best: 85.9 (AIMv2-3B (448 res))
SOTA
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition arXiv:1903.06150
Fine-Grained Image ClassificationoniNaturalist
Top 1 Accuracy· 2019-03-14
68.2
SOTA
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition arXiv:1903.06150
Image ClassificationonCUB-200-2011
Accuracy· 2019-03-14
87.9
best: 92.8 (PIM)
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition arXiv:1903.06150
Fine-Grained Image ClassificationonCUB-200-2011
Accuracy· 2019-03-14
87.9
best: 92.8 (PIM)
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition arXiv:1903.06150