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Description: Course material for SIF course: Deep Learning for Vision
This course studies learning visual representations for common computer vision tasks including matching, retrieval, classification, and object detection. The course discusses well-known methods from low-level description to intermediate representation, and their dependence on the end task. It then studies a data-driven approach where the entire pipeline is optimized jointly in a supervised fashion, according to a task-dependent objective. Deep learning models are studied in detail and interpreted in connect
The course is part of master program Research in Computer Science (SIF) of University of Rennes 1 .
The following refers to the third iteration of the course in Nov. 2019 - Jan. 2020 . Past iterations follow:
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