| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| 27 | 28 | 29 | 30 | 31 |
- VLM
- Computer Vision 논문 리뷰
- Meta AI
- 논문리뷰
- Data-centric
- Segment Anything
- iclr 2024
- Computer Vision
- ssl
- Prompt란
- 자기지도학습
- Self-supervised learning
- iclr 논문 리뷰
- iclr spotlight
- ICLR
- active learning
- deep learning
- 논문 리뷰
- Data-centric AI
- contrastive learning
- Prompt Tuning
- Multi-modal
- cvpr 2024
- Segment Anything 설명
- Segment Anything 리뷰
- CVPR
- deep learning 논문 리뷰
- cvpr 논문 리뷰
- ai 최신 논문
- Stable Diffusion
- Today
- Total
목록iclr 2024 (2)
Study With Inha
[Paper Review] ICLR 2024 Oral Paper, Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video 논문 리뷰
ICLR 2024 Oral Paper,Is ImageNet worth 1 video?Learning strong image encoders from 1 long unlabelled video논문 링크: https://openreview.net/forum?id=Yen1lGns2o Is ImageNet worth 1 video? Learning strong image encoders from 1...Self-supervised learning has unlocked the potential of scaling up pretraining to billions of images, since annotation is unnecessary. But are we making the best use of data? H..
[Paper Review] ICLR 2024, Interpreting CLIP's Image Representation via Text-Based Decomposition 논문 리뷰
ICLR 2024, Interpreting CLIP's Image Representation via Text-Based Decomposition 논문 링크: https://openreview.net/attachment?id=5Ca9sSzuDp&name=pdf프로젝트 페이지 링크: https://yossigandelsman.github.io/clip_decomposition/ 1. Introduction최근 많은 논문들에서 거대한 Text, Image Pair로 학습시킨 CLIP 모델을 활용하는 후속 연구들을 진행하고 있다.본 논문에서는 CLIP의 이미지 인코더를 분석하여 모델의 각 구성 요소가 final representation에 미치는 영향을 해석 가능한 텍스트로 설명하고 있다.먼저, Attentio..