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Semantic Segmentation 2D
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
SOTA Semantic Segmentation Models in PyTorch
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Segment Anything in High Quality [NeurIPS 2023]
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Rembg is a tool to remove images background
Official repository of IMPROVING DEEP IMAGE MATTING VIA LOCAL SMOOTHNESS ASSUMPTION.
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
SSA + FastSAM/Semantic Fast Segment Anything , or Fast Semantic Segment Anything
This is the onnxruntime and tensorrt inference code for Highly Accurate Dichotomous Image Segmentation (ECCV 2022).
TRACER: Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
This repo contains code and a pre-trained model for clothes segmentation.
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
RobustSAM: Segment Anything Robustly on Degraded Images (CVPR 2024 Highlight)
FOSS Image background remover with 10 open source rmbg models
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 th…