收集整理 GitHub 上高质量、有趣的开源项目。

Image-to-Image Translation in PyTorch

Source-Free Open Compound Domain Adaptation in Semantic Segmentation. IEEE TCSVT

Open-source KVM software

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

🆔 The easy-to-use OpenStreetMap editor in JavaScript.

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

[NeurIPS 2022 Spotlight] Official implement of Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation

a vue2.0 minimal admin template

🎉 A magical vue admin https://panjiachen.github.io/vue-element-admin

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

[TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2204.08808

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

[CVPR-2022] Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.

Using hand gestures control different effect of photography.

Gesture-controlled Video Game. Just swing your finger and play the game without touching your PC

Official Implementation of Semantic Distribution-aware Contrastive Adaptation for Semantic Segmentation https://arxiv.org/abs/2105.05013

SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive Learning https://arxiv.org/abs/2111.12358

All version of deeplab implemented in Pytorch

Example code for OCDA-Driving

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919