(5/1(월) -> 5/2(화) 변경) Towards A Universal Few-Shot Learner for Computer Vision (홍승훈 교수/KAIST 전산학부)
작성자
kaistsoftware
작성일
2023-04-28 11:32
조회
8681
- 강사 : 홍승훈 교수 (KAIST 전산학부)
- 일시 : 2023. 5. 2 (화) 16:00~17:30
This talk will discuss whether it is possible to build a universal few-shot learner that can learn arbitrary, unseen dense prediction tasks from a few labeled images (e.g., ten). The first part of the talk will discuss the challenges and desiderata of building a universal few-shot learner for dense prediction. Then I will present our approach based on non-parametric matching and demonstrate that it encapsulates all dense prediction tasks in principle and produces promising results in real-world data. Finally, I will conclude the talk with some limitations and promising directions of our research.
전체 143
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