7 citations · 16 across the 9 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network
Kamalakar Thakare, Yash Raghuwanshi, Debi Prosad Dogra +2
Unsupervised approaches for video anomaly detection may not perform as good as supervised approaches. However, learning unknown types of anomalies using an unsupervised approach is…
cs.CV2022★ 4 cited
Dual Prototype Attention for Unsupervised Video Object Segmentation
Suhwan Cho, Minhyeok Lee, Seunghoon Lee +4
Unsupervised video object segmentation (VOS) aims to detect and segment the most salient object in videos. The primary techniques used in unsupervised VOS are 1) the collaboration…