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By mimicking clinical reasoning with a hierarchical concept library, CoRE overcomes the limitations of existing continual learning methods in handling the complexities of brain lesion segmentation.
Forget semantic relevance: this new keyframe sampling method, driven by information bottleneck theory, significantly boosts MLLM performance on long-form video understanding tasks.
