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chen742 avatar

chen742/PiPa

0
View on GitHub↗
100 stars·15 forks·Python·2 viewsarxiv.org/abs/2211.07609↗

PiPa

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Features

  • Semantic Segmentation - Pixel and patch-wise self-supervised learning for domain adaptation.

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Open-source alternatives to PiPa

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  • bit-da/sepicoBIT-DA avatar

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  • brdav/refignbrdav avatar

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  • bupt-ai-cz/cac-unet-digestpath2019bupt-ai-cz avatar

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    1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

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  • a514514772/dise-domain-invariant-structure-extractiona514514772 avatar

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Frequently asked questions

What does chen742/pipa do?

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

What are the main features of chen742/pipa?

The main features of chen742/pipa are: Semantic Segmentation.

What are some open-source alternatives to chen742/pipa?

Open-source alternatives to chen742/pipa include: bit-da/sepico — [TPAMI 2023 ESI Highly Cited Paper] SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation… brdav/refign — Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions [WACV 2023]. bupt-ai-cz/cac-unet-digestpath2019 — 1st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue… bupt-ai-cz/iast-eccv2020 — IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)… charlesq34/frustum-pointnets — Created by Charles R. Qi , Wei Liu , Chenxia Wu , Hao Su and Leonidas J. Guibas from Stanford University and Nuro Inc. a514514772/dise-domain-invariant-structure-extraction — Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic…