facebookresearch / ov-seg
This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.
☆721Updated last year
Alternatives and similar repositories for ov-seg:
Users that are interested in ov-seg are comparing it to the libraries listed below
- [ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"☆702Updated last year
- Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]☆892Updated 9 months ago
- [CVPR 2023] Official Implementation of X-Decoder for generalized decoding for pixel, image and language☆1,308Updated last year
- Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.☆366Updated 2 years ago
- [ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching☆487Updated 4 months ago
- Grounded Segment Anything: From Objects to Parts☆407Updated last year
- [ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"☆2,574Updated 8 months ago
- Open-vocabulary Semantic Segmentation☆341Updated 6 months ago
- [CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segme…☆1,303Updated last year
- [CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"☆756Updated last year
- [CVPR 2024] Official implementation of the paper "Visual In-context Learning"☆460Updated last year
- Segment-anything related awesome extensions/projects/repos.☆346Updated last year
- [ECCV 2024] Tokenize Anything via Prompting☆577Updated 4 months ago
- Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation☆404Updated 11 months ago
- CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks☆410Updated last month
- Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds☆1,573Updated 8 months ago
- Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)☆439Updated 2 years ago
- Language-Driven Semantic Segmentation☆775Updated 3 months ago
- Relate Anything Model is capable of taking an image as input and utilizing SAM to identify the corresponding mask within the image.☆454Updated last year
- [NeurIPS 2023] This repo contains the code for our paper Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convoluti…☆312Updated last year
- [ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation☆371Updated last year
- Fine-tune Segment-Anything Model with Lightning Fabric.☆534Updated last year
- using clip and sam to segment any instance you specify with text prompt of any instance names☆174Updated last year
- Segment Any RGBD☆822Updated last year
- Segment Anything combined with CLIP☆339Updated last year
- Grounded Language-Image Pre-training☆2,378Updated last year
- [CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation☆1,589Updated 6 months ago
- This is an implementation of zero-shot instance segmentation using Segment Anything.☆311Updated 2 years ago
- [CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want☆802Updated 8 months ago
- This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectio…☆576Updated 9 months ago