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🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
✨✨Latest Advances on Multimodal Large Language Models
Minimal reproduction of DeepSeek R1-Zero
Reference PyTorch implementation and models for DINOv3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
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🚀 「大模型」1小时从0训练26M参数的视觉多模态VLM！🌏 Train a 26M-parameter VLM from scratch in just 1 hours!
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📚 A collection of papers about Referring Image Segmentation.
[VINT 2026] SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation
A collection of papers published in MICCAI 2024 with their code.
Integrating SAM2 with DINOv2/v3 for segmentation
Adapting DINOv3 to downstream segmentation tasks