CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation-Reference-Cited by-同舟云学术

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CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation

Published:2023-10-01 Issue: Volume: Page:11485-11495
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Wang Kaihong¹,Kim Donghyun²,Feris Rogerio³,Betke Margrit¹

Affiliation:

1. Boston University

2. Korea University

3. MIT-IBM Watson AI Lab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376672.pdf?arnumber=10376672

Reference51 articles.

1. Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

2. End-to-End Object Detection with Transformers

3. UNITER: UNiversal Image-TExt Representation Learning

4. Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation

5. The Cityscapes Dataset for Semantic Urban Scene Understanding

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation;IEEE Transactions on Medical Imaging;2024-09

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