AlaaLab/InstructCV

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 show how to use the model.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

Vision as Unified Multimodal Generation

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 the model.

TIPSv2 (CVPR'26) and TIPS (ICLR'25)

DeepSeek-VL: Towards Real-World Vision-Language Understanding

[CVPR 2026 Best Paper Finalist & NeurIPS 2026]

Strong and Open Vision Language Assistant for Mobile Devices