CORDIS Project
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This project aims to enhance video understanding for autonomous driving by developing deep learning methods for multi-object tracking and detection. It focuses on improving performance through unsupervised learning and object-level reasoning, addressing challenges in processing video sequences.
Autonomous vision aims to solve computer vision problems related to autonomous driving.
Autonomous vision algorithms achieve impressive results on a single image for various tasks such as object detection and semantic segmentation, however, this success has not been fully extended to video sequences yet.
In computer vision, it is commonly acknowledged that video understanding falls years behind single image.
This is mainly due to two reasons: processing power required for reasoning across multip…
KOC UNIVERSITY
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