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
- 원격 학습 안끊기게
- 기계학습
- polling-based object probing evaluation
- vlm hallucination paper
- vlm 환각
- 1차 미분 마스크
- 에지 검출
- vlm 환각이란
- evaluating object hallucination in large vision-language models
- clip
- clip adapter
- dinov2 논문 리뷰
- 딥러닝 목적함수
- 객체 검출
- evaluating object hallucination in large vision-language models 논문
- 논문 리뷰
- vlm
- vlm hallucination
- object detection
- dinov2: learning robust visual features without supervision 논문 리뷰
- 논문 요약
- dinov2: learning robust visual features without supervision 논문
- dinov2: learning robust visual features without supervision
- evaluating object hallucination in large vision-language models paper
- blip-2
- 이미지 필터링
- Object detection article
- mobilenetv1
- 엔트로피란
- 딥러닝 엔트로피
Archives
- Today
- Total
목록객체 검출 모델 (1)
My Vision, Computer Vision
[논문 리뷰/요약]A Survey of Modern Deep Learning based Object Detection Models(2)
A Survey of Modern Deep Learning based Object Detection Models Object Detection is the task of classification and localization of objects in an image or video. It has gained prominence in recent years due to its widespread applications. This article surveys recent developments in deep learning based object detectors. arxiv.org 이전 글에서 이어집니다. A Survey of Modern Deep Learning based Object Detection..
Paper
2024. 2. 15. 17:14