论文题目:Open World Object Detection: A Survey 发表时间:2024 作者:Yiming Li、Yi Wang、Wenqian Wang、Dan Lin、Bingbing Li、Kim-Hui Yap 作者单位:Nanyang Technological University、The Hong Kong Pol…
Open-World Object Detection 识别未知对象并标记为“unknown”(Open-Set);增量学习未知类别(Incrementally learn identified unknown categories),同时,不会忘记之前已经学会的类别。 Open-Vocabulary Object Detection 要求模型超越训练阶段有限的基类(base classes)标签,从而在推理阶段检测由无界(开放)词汇表定义的新类别。
Incremental Learning Object object-detection Object Detection Open Set Learning Open World Object Detection Survey Datasets Edit MS COCO Results from the Paper Edit Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. Methods...
This survey paper offers a thorough review of the OWOD domain, covering essential aspects, including problem definitions, benchmark datasets, source codes, evaluation metrics, and a comparative study of existing methods. Additionally, we investigate related areas like open set recognition (OSR) and ...
A survey of deep learning-based object detection: Application and open issuesdoi:10.22075/ijnaa.2022.6525Abdullah, Shaymaa TarkanAL-Nuaimi, Bashar TalibAbed, Hazim NomanInternational Journal of Nonlinear Analysis & Applications
open.: Demonstrated with open-set capability. (only for Video Understanding) audio.: With audio modality. bench: Propose a benchmark. other: Other methods that cannot be grouped into above ones. no-train: Does not need training. Open Vocabulary Object Detection ...
Anomaly Detection Open Set Domain Adaptation Open World Recognition License Contributing Tutorials Tutorial & survey Toward Open Set Recognition, Scheirer W J, de Rezende Rocha A, Sapkota A, et al. (PAMI, 2013). Towards Open World Recognition, Bendale A, Boult T. (CVPR, 2015). Lifelong ...
We present a large scale data set, OpenEDS: Open Eye Dataset, of eye-images captured using a virtual-reality (VR) head mounted display mounted with two synchronized eyefacing cameras at a frame rate of 200 Hz under controlled illumination. This dataset is compiled from video capture of the ...
Open World Object Detection (OWOD) is a challenging computer vision problem that requires detecting unknown objects and gradually learning the identified unknown classes. However, it cannot distinguish unknown instances as multiple unknown classes. In th
地址如下：Towards Open Vocabulary Learning: A Survey 原回答：open vocabulary是指更广义更大的类别范围...