RF++-SSTDA

Reported on 2 benchmarks across 2 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

Action LocalizationonBreakfast
Acc· 2022-06-14
70.8
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks arXiv:2206.06637
Action SegmentationonBreakfast
Acc· 2022-06-14
70.8
best: 78 (AdaFocus (newly extracted I3D-features, LT-Context model))
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks arXiv:2206.06637