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Gustavo A. Vargas Hakim

2 accepted papers

2024

NC-TTT: A Noise Constrastive Approach for Test-Time Training

CVPR 2024highlight

Despite their exceptional performance in vision tasks deep learning models often struggle when faced with domain shifts during testing. Test-Time Training (TTT) methods have recently gained popularity by their ability to enhance the robustness of models through the addition of an auxiliary objective…

2023

ClusT3: Information Invariant Test-Time Training

ICCV 2023poster

Deep Learning models have shown remarkable performance in a broad range of vision tasks. However, they are often vulnerable against domain shifts at test-time. Test-time training (TTT) methods have been developed in an attempt to mitigate these vulnerabilities, where a secondary task is solved at tr…

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