| 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 |
- Multi-modal
- deep learning
- active learning
- 논문리뷰
- Segment Anything
- ai 최신 논문
- Meta AI
- cvpr 2024
- ssl
- Stable Diffusion
- deep learning 논문 리뷰
- CVPR
- cvpr 논문 리뷰
- contrastive learning
- iclr 논문 리뷰
- Prompt Tuning
- iclr spotlight
- VLM
- iclr 2024
- Prompt란
- 논문 리뷰
- ICLR
- Self-supervised learning
- Computer Vision
- 자기지도학습
- Segment Anything 리뷰
- Computer Vision 논문 리뷰
- Data-centric AI
- Segment Anything 설명
- Data-centric
- Today
- Total
목록2024/08 (3)
Study With Inha
[Paper Review] Meta AI Segment Anything 2, SAM 2: Segment Anything in Images and Videos 논문 리뷰 및 SAM2 설명
Meta FAIR SAM 2: Segment Anything in Images and Videos Segment Anything Model 2 설명 및 논문 리뷰Paper: SAM2 Paper LinkDemo: https://sam2.metademolab.comCode: https://github.com/facebookresearch/segment-anything-2 Website: https://ai.meta.com/sam2 Meta Segment Anything Model 2Access our research Open innovation To enable the research community to build upon this work, we’re publicly releasing a pretrai..
[Paper Review] CVPR 2024 Highlight Paper, The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding 논문 리뷰
CVPR 2024 Highlight Paper(FG-OVD) The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding논문 링크: https://arxiv.org/abs/2311.17518프로젝트 페이지: https://lorebianchi98.github.io/FG-OVD/ The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understandingWe evaluated some state-of-the-art models o..
[Paper Review] ICLR 2023 Spotlight, SparK: Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling 논문 리뷰
ICLR 2023 Spotlight (notable-top-25%),(SparK) Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling논문 링크: https://openreview.net/forum?id=NRxydtWup1SGitHub: https://github.com/keyu-tian/SparK Designing BERT for Convolutional Networks: Sparse and Hierarchical...This paper presents a simple yet powerful framework to pre-train convolutional network (convnet) with Sparse..