Vision Task

Vision tasks, encompassing image and video analysis for diverse applications, are a central focus in computer vision research. Current efforts concentrate on improving model efficiency and robustness, particularly through multi-task learning, the development of novel architectures like Vision Transformers and state-space models, and the incorporation of human feedback for improved alignment with user preferences. These advancements are driving progress in areas such as image compression for machine learning pipelines, multi-image understanding, and the creation of more robust and fair models for real-world deployment.