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

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