ylqi / Count-Anything
This method uses Segment Anything and CLIP to ground and count any object that matches a custom text prompt, without requiring any point or box annotation.
☆144Updated last year
Alternatives and similar repositories for Count-Anything:
Users that are interested in Count-Anything are comparing it to the libraries listed below
- Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works☆190Updated 5 months ago
- using clip and sam to segment any instance you specify with text prompt of any instance names☆173Updated last year
- an empirical study on few-shot counting using segment anything (SAM)☆89Updated last year
- [ACM MM23] CLIP-Count: Towards Text-Guided Zero-Shot Object Counting☆105Updated last year
- SSA + FastSAM/Semantic Fast Segment Anything , or Fast Semantic Segment Anything☆94Updated last year
- Combining OwlViT with Segment Anything - Open-vocabulary Detection and Segmentation (Text-conditioned, and Image-conditioned)☆163Updated last year
- Collect some resource about Segment Anything (SAM), including the latest papers and demo☆118Updated last year
- ☆47Updated last year
- (CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting☆109Updated 4 months ago
- This is an implementation of zero-shot instance segmentation using Segment Anything.☆310Updated last year
- PA-SAM: Prompt Adapter SAM for High-quality Image Segmentation☆80Updated last year
- Combining "segment-anything" with MOT, it create the era of "MOTS"☆153Updated last year
- Codebase for the Recognize Anything Model (RAM)☆76Updated last year
- yolov8 model with SAM meta☆129Updated last year
- [ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching☆481Updated 3 months ago
- ☆115Updated 8 months ago
- [CVPR 2024] Official implementation of the paper "Visual In-context Learning"☆452Updated 11 months ago
- [ICLR 2025 oral] RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything☆236Updated last month
- ☆64Updated last year
- [CVPR 2025] "A Distractor-Aware Memory for Visual Object Tracking with SAM2"☆253Updated 2 weeks ago
- CounTR: Transformer-based Generalised Visual Counting☆106Updated 8 months ago
- Includes the code for training and testing the CountGD model from the paper CountGD: Multi-Modal Open-World Counting.☆175Updated 2 weeks ago
- Grounded Segment Anything: From Objects to Parts☆406Updated last year
- Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation☆403Updated 10 months ago
- [NeurIPS2023] Code release for "Hierarchical Open-vocabulary Universal Image Segmentation"☆285Updated last year
- [ICCV2023] VLPart: Going Denser with Open-Vocabulary Part Segmentation☆372Updated last year
- ☆136Updated last year
- Multi-Class Few-Shot Semantic Segmentation with Visual Prompts☆50Updated 2 months ago
- [ICCV2023] Segment Every Reference Object in Spatial and Temporal Spaces☆237Updated last month
- Recognize Any Regions☆121Updated 3 months ago