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Nian Shi

2 accepted papers

2026

Revisiting Downsampling in Semantic Segmentation: Fighting Aliasing with Dynamic Gaussian and Gabor Frequency Filters

AAAI 2026technical

Downsampling is essential in semantic segmentation for reducing computational cost and guiding the learning of class-discriminative features. Existing models typically rely on strided convolutions or patch splitting to obtain features with lower resolution. However, we observe that such operations o

Cited by 0SourcePDFScholar
2023

Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation

AAAI 2023technical

Continual Test-Time Adaptation (CTTA) aims to adapt the source model to continually changing unlabeled target domains without access to the source data. Existing methods mainly focus on model-based adaptation in a self-training manner, such as predicting pseudo labels for new domain datasets. Since…

Cited by 100SourcePDFScholar