Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation
Author:
Affiliation:
1. Qualcomm AI Research is an Initiative of Qualcomm Technologies, Inc.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10097090.pdf?arnumber=10097090
Reference38 articles.
1. CyCADA: Cycle-Consistent Adversarial Domain Adaptation;hoffman;ICML,2018
2. AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
3. Transferring and Regularizing Prediction for Semantic Segmentation
4. Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
5. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
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1. A Comprehensive Survey on Test-Time Adaptation Under Distribution Shifts;International Journal of Computer Vision;2024-07-18
2. Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
3. MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
4. EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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