CSE 244C: Adv Computer Vision DL
University of California, Santa Cruz
This 10-week course delves deep into advanced computer vision with deep learning, introducing key concepts, applications, and the latest advancements in the field. Specifically, the course covers topics including image basics, convolutional neural network and its applications in different vision tasks (i.e., classification, detection, segmentation and video understanding), Transformer, self-supervised learning, vision language models, and three advanced topics. Upon completion, students should understand basics and cutting-edge advancements in this field and be able to solve real-world vision challenges.
Average GPA: 3.91
Grade distribution records: 44 students across 2 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 8 | 18.2% |
| A | 20 | 45.5% |
| A- | 7 | 15.9% |
| B+ | 2 | 4.5% |
| S | 7 | 15.9% |
Based on 44 student grade records across 2 terms and 1 professor.
Instructors
- Yuyin Zhou 44 students, Average GPA 3.90