반응형
250x250
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 |
Tags
- Object detection article
- vlm hallucination paper
- 논문 리뷰
- polling-based object probing evaluation
- dinov2: learning robust visual features without supervision 논문 리뷰
- vlm 환각이란
- vlm 환각
- dinov2 논문 리뷰
- 논문 요약
- 원격 학습 안끊기게
- dinov2: learning robust visual features without supervision
- 에지 검출
- 딥러닝 엔트로피
- 객체 검출
- mobilenetv1
- 기계학습
- evaluating object hallucination in large vision-language models 논문
- blip-2
- vlm hallucination
- object detection
- evaluating object hallucination in large vision-language models paper
- 엔트로피란
- 이미지 필터링
- 1차 미분 마스크
- clip adapter
- 딥러닝 목적함수
- dinov2: learning robust visual features without supervision 논문
- clip
- vlm
- evaluating object hallucination in large vision-language models
Archives
- Today
- Total
목록dinov2: learning robust visual features without supervision (1)
My Vision, Computer Vision

DINOv2: Learning Robust Visual Features without SupervisionThe recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision. These models could greatly simplify the use of images in any system by producingarxiv.org Author : MLAOquab, Maxime, et al.Journal : ArxivKeyword : dinov2Published..
Paper
2025. 3. 31. 14:39