Open world object detection (OWOD) is an emerging area of research that adapts this principle to explore new knowledge. It focuses on recognizing and learning from objects absent from initial training sets, thereby incrementally expanding its knowledge base when new class labels are introduced. This...
Object counting is important for quantitative analysis that depends on estimation of certain elements.Keywords-- object counting, Hough transform, canny edge detection, Segmentation, Feature ExtractionI. INTRODUCTIONA growing number of routine and research activities, in a wide variety of fields, have ...
Furthermore, we introduce the Few-shot Class-incremental Classification (FSCIC) methods from data-based, structure-based, and optimization-based approaches and the Few-shot Class-incremental Object Detection (FSCIOD) methods from anchor-free and anchor-based approaches. Beyond these, we present ...
This survey will be especially beneficial for the researchers to have better understanding of this research field. Furthermore, to the best of our knowledge, this is the first survey paper in the literature that focuses on generic object detection in optical RSIs. The rest of the paper is ...
论文名称:A Survey of Deep Learning-Based Object Detection 翻译 ABSTRACTObject detection is one of the most important and challenging branches of computer vision, which has been widely applied in people s life, such as monitoring security, autonomous driving and so on, with the purpose of locating...
Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various
Call for Papers:Vol.11 Issue.2 Important Dates Submission Last date 28-Apr-2025 Acceptance Status In One Day Paper Publish In Two Days Submit ManuScript News & Updates News for bloggers Submit Article Dear Authors, Article publish in our journal for Volume-11,Issue-2. For article ...
[65] systematically review recent papers on object detection with deep CNN, including typical architectures, current challenges and public datasets. Zhao et al. [66] provide a thoroughly survey on deep learning based object detection frameworks. Furthermore, Liu et al. [67] comprehensively review ...
Object Detection in 20 Years A Survey 论文阅读笔记 文章链接:https://arxiv.org/pdf/1905.05055.pdf 1.Introduction 作为计算机视觉的基本问题之一,目标检测构成了许多其他计算机视觉任务的基础,例如实例分割,图像捕获,对象跟踪等。从应用的角度来看,目标检测可分为两个研究主题“general object detection”和“detecti...
Few-Shot Object Detection: A Survey, TNNLS 2022. A Survey of Self-Supervised and Few-Shot Object Detection, arXiv 2021, [project]. ToDo MSCOCO FSOD Leaderboard PASCAL-VOC FSOD Leaderboard. Contact csgaobb@gmail.comAbout Few Shot Object Detection Papers zhuanlan.zhihu.com/p/597633124 Resource...