ActiveSAM: Fast and Accurate Open-Vocabulary Semantic Segmentation with Frozen SAM 3
The episode discusses ActiveSAM, a training-free framework that adapts SAM 3 into an active-vocabulary segmenter for open-vocabulary semantic segmentation. The paper introduces a zero-shot inference method using class pruning guided by a low-resolution preview and bucketed prompt multiplexing to improve speed and accuracy.