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

An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleWhile the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited. In vision, attention is either applied in conjunction with convolutional networks, or used to reparxiv.orgAbstractTransformer가 사실상 NLP 분야의 표준이 되었지만 Computer vision에 ..
Paper
2024. 8. 27. 19:38