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❇️ EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM

#SAM

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❇️ SAM 2: Segment Anything in Images and Videos 🔥🔥🔥

#SAM

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❇️ RAP-SAM: Towards Real-Time All-Purpose Segment Anything 🔥

#SAM

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❇️ Segment Anything without Supervision 🔥

#SAM

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❇️ Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO and SAM 2 🔥🚀

#SAM #DINO

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❇️ CVPR24-MedSAM-on-Laptop 🏥

#SAM #MedicalAI

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❇️ Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans

#SAM #MedicalAI #3D

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❇️ Optical Character Recognition with Segment Anything (OCR-SAM)

#OCR #SAM

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❇️ Segment-Anything-U-Specify 💥

#SAM #CLIP

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❇️ SAM-Adapter: Adapting SAM in Underperformed Scenes (!!Now Support SAM2 in "SAM2-Adapter" Branch!!)


#SAM

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❇️ Muggled SAM: Segmentation without the magic 🔥🚀

#SAM

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❇️ TinySAM: Pushing the Envelope for Efficient Segment Anything Model

#SAM

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❇️ SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory 🔥⚔️🔥

#SAM

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❇️ ZIM: Zero-Shot Image Matting for Anything 🔥

#SAM

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❇️ SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation

#SAM

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❇️ A Distractor-Aware Memory for Visual Object Tracking with SAM2 🔥🔥🔥

#SAM

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❇️ SAMPart3D: Segment Any Part in 3D Objects

#3D #SAM

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❇️ Count Anything 🔥🔥🔥

#SAM

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❇️ EdgeTAM: On-Device Track Anything Model

#SAM

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❇️ Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts

#ViTs #SAM

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