Weakly supervised semantic segmentation with weak labels is a long-lived...
Neural implicit methods have achieved high-quality 3D object surfaces un...
Traffic scene parsing is one of the most important tasks to achieve
inte...
Mining precise class-aware attention maps, a.k.a, class activation maps,...
Semantic segmentation models trained on public datasets have achieved gr...
Label smoothing is an effective regularization tool for deep neural netw...
Recently, adversarial erasing for weakly-supervised object attention has...
Semantic edge detection (SED), which aims at jointly extracting edges as...