A review of small object and movement detection based loss function and optimized technique

被引：4

作者：

Chaturvedi, Ravi Prakash ^{[1
]}

Ghose, Udayan ^{[1
]}

机构：

[1] Guru Gobind Singh Indraprastha Univ, Univ Sch Informat Commun & Technol, Delhi 110078, India

来源：

JOURNAL OF INTELLIGENT SYSTEMS | 2023年 / 32卷 / 01期

关键词：

detection of small objects; detection of video objects; loss functions; optimization; CONVOLUTIONAL NEURAL-NETWORK; FUSION NETWORK; AWARE; RECOGNITION; IMAGES;

D O I：

10.1515/jisys-2022-0324

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The objective of this study is to supply an overview of research work based on video-based networks and tiny object identification. The identification of tiny items and video objects, as well as research on current technologies, are discussed first. The detection, loss function, and optimization techniques are classified and described in the form of a comparison table. These comparison tables are designed to help you identify differences in research utility, accuracy, and calculations. Finally, it highlights some future trends in video and small object detection (people, cars, animals, etc.), loss functions, and optimization techniques for solving new problems.

引用

页数：19

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