Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation
OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
(ECCV 2024) Open-Vocabulary Camouflaged Object Segmentation
[ICCV 2025] Official repository of the paper "Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation"
[CVPR 2025] Official repository of the paper "Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation"
[NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation
Official code "Taming SAM3 under Distribution Shift: ConceptBank for Support-Assisted Open-Vocabulary Segmentation"
[ICLR 2025] Official code of "Segment any 3D Object with Language"
[ICLR 2026] Official code of "Segment any Events with Language"
Official repository of the paper "High-Quality Mask Tuning Matters for Open-Vocabulary Segmentation"
[ICCV 2025] FLOSS: Plug-in Training-free and label-free text template selection that boosts OVSS methods
[CVPR 2026 Highlight] SLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes
Official code for CVPR2026 "PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation"
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