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목록object detection (2)
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[Paper Review] CVPR 2024 Highlight Paper, The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding 논문 리뷰
CVPR 2024 Highlight Paper(FG-OVD) The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding논문 링크: https://arxiv.org/abs/2311.17518프로젝트 페이지: https://lorebianchi98.github.io/FG-OVD/ The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understandingWe evaluated some state-of-the-art models o..
[Data-centric AI - 2편] Data-centric AI, ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data 논문 리뷰
ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Datahttps://arxiv.org/pdf/2309.00832.pdf 1. Introduction아래 링크의 글에서 볼 수 있듯이, 잘못된 GT를 가진 Dataset으로 학습된 모델의 경우 그 성능이 낮아질 수 있다.이를 방지하기 위해서 연구되는 분야가 Data-centric AI에서 'Data Preparation' 단계의 'Data Cleaning'이다.[Computer Vision 시리즈물 연재] - [Data-centric AI - 1편] DCAI 소개 [Data-centric AI - 1편] DCAI 소개 및 Data-centric AI: Perspectives a..