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