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08/14/2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
Test-time adaptation (TTA) methods, which generally rely on the model's ...
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04/02/2023
Progressive Random Convolutions for Single Domain Generalization
Single domain generalization aims to train a generalizable model with on...
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03/03/2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
This paper presents a simple yet effective approach that improves contin...
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02/10/2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
This paper proposes a novel batch normalization strategy for test-time a...
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07/24/2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
This paper proposes a novel test-time adaptation strategy that adjusts t...
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07/23/2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
Identifying unexpected objects on roads in semantic segmentation (e.g., ...
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03/29/2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
Enhancing the generalization capability of deep neural networks to unsee...
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08/19/2020
Towards Lightweight Lane Detection by Optimizing Spatial Embedding
A number of lane detection methods depend on a proposal-free instance se...
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03/11/2020
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
This paper exploits the intrinsic features of urban-scene images and pro...
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12/24/2018
