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STAMPlus not only slashes segmentation latency but also excels in open-vocabulary and instance-aware tasks, redefining the capabilities of MLLM-based segmentation.
Achieving competitive multimodal performance while training only a fraction of the parameters reveals a new pathway for efficient visual processing in large language models.
