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洞見 - Bi-Level Optimization for Semantic Segmentation
BLO-SAM: Bi-Level Optimization for Semantic Segmentation
BLO-SAM introduces bi-level optimization to address overfitting in semantic segmentation tasks, enhancing model generalization and performance.
BLO-SAM: Bi-Level Optimization Based Finetuning for Semantic Segmentation
BLO-SAM introduces a bi-level optimization approach to finetune the Segment Anything Model (SAM) for semantic segmentation tasks, addressing overfitting and improving generalization.
BLO-SAM: Bi-Level Optimization for Semantic Segmentation
BLO-SAM introduces a bi-level optimization approach to finetune the Segment Anything Model (SAM) for semantic segmentation tasks, addressing overfitting and eliminating the need for manual prompts.