← Search

Tiankang Su

2 accepted papers

2024

Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation

AAAI 2024technical

The performance of existing unsupervised video object segmentation methods typically suffers from severe performance degradation on test videos when tested in out-of-distribution scenarios. The primary reason is that the test data in real- world may not follow the independent and identically distrib…

Cited by 6SourcePDFScholar
2023

Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning

ICCV 2023poster

The existing unsupervised video object segmentation methods depend heavily on the segmentation model trained offline on a labeled training video set, and cannot well generalize to the test videos from a different domain with possible distribution shifts. We propose to perform online fine-tuning on t…

Cited by 11PDFScholar