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A GUI client for Windows, Linux and macOS, support Xray and sing-box and others
Image-to-Image Translation in PyTorch
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts (CVPR 2024)
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
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
[CVPR 2025] SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.
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YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Code of DDcGAN for infrared and visible image fusion and medical image fusion
Visualizer for neural network, deep learning and machine learning models
[ICLR'22] This is an official implementation for "AS-MLP: An Axial Shifted MLP Architecture for Vision".
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
xiaopeng-liao / Pytorch-UNet
Forked from milesial/Pytorch-UNetPytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing