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Course Evaluation Results

Course Details

Spring 2017-2018
COS 598B   Graded A-F, P/D/F, Audit

Advanced Topics in Computer Science - Visual Recognition

Olga Russakovsky

We select a few computer vision topics to explore. The focus is on visual recognition, with sample topics including large-scale image classification, object detection, semantic segmentation, human pose estimation, activity recognition in video and visual question answering. We cover each topic in depth, including benchmarking & evaluation, data acquisition & annotation, successes & failures of classical algorithms, the latest state-of-the-art insights & models, and promising future directions.


Sample reading list:
See instructor for complete list

Requirements/Grading:
Other (See Instructor) - 100%

Other Requirements:
Not Open to Freshmen.

Prerequisites and Restrictions:
COS 429 or equivalent.

Other information:
Students are expected to routinely read and present research papers, with special attention on developing excellent oral & written scientific communication skills.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43743 S01 3:00 pm - 4:20 pm M W        Enrolled:7 Limit:30