ECCV 2024. 10. 02. Wednesday Oral 3A: Datasets And Benchmarking  오늘은 꼭 들어야 할 주제가 있기 때문에,오전 발표를 듣기 위해, 일찍 나섰습니다 ☁️         Oral: Dataset Condensation Towards Model-Agnostic Dataset Condensation by Heterogeneous ModelsJun-Yeong Moon · Jung Uk Kim · Gyeong-Moon Park      https://eccv.ecva.net/virtual/2024/oral/856 ECCV 2024 Towards Model-Agnostic Dataset Condensation by Heterogeneous Models OralReg..

ECCV 2024 Day2 Sometimes Less is More: The First Dataset Distillation Challenge Flavors of Distillation                    아래와 같이 Part 별로 연구하신 내용 · 논문을 함께 설명해주셨다.Next step으로 넘어갈 때, 왜 해당 방법론이 도입되었는지 제시해주셔서,이해하면서 듣기 좋았다.! :)                 * Summary(1) Data distillation - (2) test data curation - (3) knowledge distillation - (4) General knowledge distillation 작은 training set -> small samples synt..

ECCV 2024 Day2 Sometimes Less is More: The First Dataset Distillation Challenge https://dd-challenge-main.vercel.app/#/ Dataset Distillation Challenge dd-challenge-main.vercel.app    그래도 작년에 논문을 써봤던 분야라, 재미있게 들었습니다. :)       Dataset Distillation Workshop Introduction     1st An Introduction to Dataset Distillation                             1st An Introduction to dataset distillation - Hakan Bi..

Dataset Condensation with Distribution Matching Abstraction Computational cost of training state-of-the-art deep models in many learning problems is rapidly increasing due to more sophisticated models and larger datasets. A recent promising direction for reducing training cost is dataset condensation that aims to replace the original large training set with a significantly smaller learned synthe..

Keynote 최종 version

Keynote 초안