Segment Anything in High Quality [NeurIPS 2023]
-
Updated
Dec 7, 2024 - Jupyter Notebook
Segment Anything in High Quality [NeurIPS 2023]
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)
ZIM: Zero-Shot Image Matting for Anything
[ICCV 2023 R6D] PyTorch implementation of CNOS: A Strong Baseline for CAD-based Novel Object Segmentation based on Segmenting Anything and DINOv2
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation
Multi-Aspect Vision Language Pretraining - CVPR2024
Image Instance Segmentation - Zero Shot - OpenAI's CLIP + Meta's SAM
Official code for "DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut", NeurIPS 2024
EfficientSAM + YOLO World base model for use with Autodistill.
This repository contains the source code and reports for a AR-based Robotic Control System project, developed as part of the SUPSI Project Course. The project leverages Augmented Reality, Machine Learning, and Advanced Robotics to create an intuitive, efficient, and human-centric industrial automation solution.
Implementation of Zero-shot Anomaly Segmentation (ZSAS) Model based on Dynamic Object-aware Tagging (DOT) Prompt
Add a description, image, and links to the zero-shot-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the zero-shot-segmentation topic, visit your repo's landing page and select "manage topics."