1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012
2. Contextual diversity for active learning;Agarwal,2020
3. ALGES: active learning with gradient embeddings for semantic segmentation of laparoscopic surgical images;Aklilu,2022
4. Queries and concept learning;Angluin;Mach. Learn.,1988
5. Queries revisited;Angluin;Theoret. Comput. Sci.,2004