AI RESEARCH
Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition
arXiv CS.CV
•
ArXi:2603.10965v1 Announce Type: new Video quality significantly affects video classification. We found this problem when we classified Mild Cognitive Impairment well from clear videos, but worse from blurred ones. From then, we realized that referring to Video Quality Assessment (VQA) may improve video classification. This paper proposed Self-Supervised Learning-based Video Vision Transformer combined with No-reference VQA for video classification (SSL-V3) to fulfill the goal.