Leyuan Fang

REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning

2023 · IEEE Transactions on Image Processing

Neurologically, filter pruning is a procedure of forgetting and remembering recovering. Prevailing methods directly forget less important information from an unrobust baseline at first and expect to minimize the performance sacrifice. However, unsaturated base remembering …

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

2024 · arXiv (Cornell University)

Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing approaches focus on generating pseudo labels for supervision while largely ignoring …