Plain-Det: A Plain Multi-dataset Object Detector

doi:10.1007/978-3-031-72652-1_13

	Plain-Det: A Plain Multi-dataset Object Detector
	Shi, Cheng; Zhu, Yuchen; Yang, Sibei
	2025
会议录名称	COMPUTER VISION - ECCV 2024, PT V (IF:0.402[JCR-2005],0.000[5-Year])
ISSN	0302-9743
卷号	15063
DOI	10.1007/978-3-031-72652-1_13
摘要	Recent advancements in large-scale foundational models have sparked widespread interest in training highly proficient large vision models. A common consensus revolves around the necessity of aggregating extensive, high-quality annotated data. However, given the inherent challenges in annotating dense tasks in computer vision, such as object detection and segmentation, a practical strategy is to combine and leverage all available data for training purposes. In this work, we propose Plain-Det, which offers flexibility to accommodate new datasets, robustness in performance across diverse datasets, training efficiency, and compatibility with various detection architectures. We utilize Def-DETR, with the assistance of Plain-Det, to achieve a mAP of 51.9 on COCO, matching the current state-of-the-art detectors. We conduct extensive experiments on 13 downstream datasets and Plain-Det demonstrates strong generalization capability. Code is release at https://github.com/ChengShiest/Plain-Det.
关键词	Object detection Multiple datasets Proposal generation
会议名称	18th European Conference on Computer Vision (ECCV)
出版地	GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
会议地点	null,Milan,ITALY
会议日期	SEP 29-OCT 04, 2024
URL	查看原文
收录类别	CPCI-S
语种	英语
资助项目	National Natural Science Foundation of China[62206174]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS记录号	WOS:001352840300013
出版者	SPRINGER INTERNATIONAL PUBLISHING AG
EISSN	1611-3349
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/408337
专题	信息科学与技术学院信息科学与技术学院_硕士生信息科学与技术学院_PI研究组_杨思蓓组
通讯作者	Yang, Sibei
作者单位	ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Shi, Cheng,Zhu, Yuchen,Yang, Sibei. Plain-Det: A Plain Multi-dataset Object Detector[C]. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG,2025.