The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: Semi-supervised learning (SSL) enables the accurate segmentation of medical images with limited available labeled data. However, its performance usually lags fully supervised methods that ...
Abstract: This paper presents a Bayesian multifractal segmentation method that segments multifractal textures in regions with different multifractal properties. First, a computationally and ...
SAM3 ~160MB Auto-segment/Text 0.3-0.7s N/A SAM2.1_T (CPU) ~40MB Fast CPU N/A <1s SAM2.1_B (CPU) ~80MB Balanced CPU N/A 1-2s SAM2.1_L (CPU) ~224MB Quality CPU N/A 2-3s Select a class (Buildings, Water, ...