2 papers
cs.CV2025
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training
Kaixuan Lu, Mehmet Onurcan Kaya, Dim P. Papadopoulos
Video Instance Segmentation (VIS) faces significant annotation challenges due to its dual requirements of pixel-level masks and temporal consistency labels. While recent unsupervis…
cs.CV2025
AutoQ-VIS: Improving Unsupervised Video Instance Segmentation via Automatic Quality Assessment
Kaixuan Lu, Mehmet Onurcan Kaya, Dim P. Papadopoulos
Video Instance Segmentation (VIS) faces significant annotation challenges due to its dual requirements of pixel-level masks and temporal consistency labels. While recent unsupervis…