Notice
Recent Posts
Recent Comments
Link
| 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 |
Tags
- grefcoco
- gsoc 2025
- Object detection article
- 원격 학습 안끊기게
- 객체 검출
- res
- mobilenetv1
- vlm
- 논문 리뷰
- referring expression segmentation
- 기계학습
- gsoc
- 딥러닝 엔트로피
- res paper
- 이미지 필터링
- clip
- 엔트로피란
- 딥러닝 목적함수
- google summer of code
- object detection
- Segmentation
- grefcoco dataset
- blip-2
- clip adapter
- reparameterization
- 에지 검출
- gres
- 1차 미분 마스크
- gsoc 후기
- 논문 요약
Archives
- Today
- Total
목록2025/05/16 (1)
My Vision, Computer Vision
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsIncreasing model size when pretraining natural language representations often results in improved performance on downstream tasks. However, at some point further model increases become harder due to GPU/TPU memory limitations and longer training times. Toarxiv.orgAuthor : Lan, Zhenzhong, et al.Journal : ICLR 2020Keyword ..
Paper
2025. 5. 16. 10:34