Results 21 to 30 of about 11,225,352 (285)
ECAP-YOLO: Efficient Channel Attention Pyramid YOLO for Small Object Detection in Aerial Image
Remote Sensing, 2021 Detection of small targets in aerial images is still a difficult problem due to the low resolution and background-like targets. With the recent development of object detection technology, efficient and high-performance detector techniques have been ...
Munhyeong Kim, Jongmin Jeong, Sungho Kim
doaj +1 more source
Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory
Sensors, 2023 Due to their rapid development and wide application in modern agriculture, robots, mobile terminals, and intelligent devices have become vital technologies and fundamental research topics for the development of intelligent and precision agriculture ...
Xinfa Wang +6 more
doaj +1 more source
A Simple and Efficient Network for Small Target Detection [PDF]
IEEE Access, 2019 Target detection based on deep learning is developing rapidly. However, small target detection is still a challenge. In this paper, a simple and efficient network for small target detection is proposed. We put forward to improve the detection performance of the small targets in three aspects.
Moran Ju +4 more
openaire +3 more sources
Small Target Detection Based on Improved SSD Algorithm [PDF]
Jisuanji gongcheng, 2023 SSD is a classical single-stage target detection algorithm that makes prediction by generating six scale feature maps on different convolutional layers.
Shan WU, Feng ZHOU
doaj +1 more source
Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]
, 2013 With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui +3 more
core +4 more sources
IEEE Access, 2021 As a basic task in the field of computer vision, target detection has been concerned by many researchers. The performance of target detection method is also directly related to the research in many advanced semantic fields.
Jun Zhang, Yizhen Meng, Zhipeng Chen
doaj +1 more source
Based on Improved YOLOv7 Small Target Detection
, 2023 In recent years, deep learning-based object detection has developed rapidly, but its performance in the small object detection field is not ideal compared to the natural scene image domain. Hence, this paper proposes an improved small object detection algorithm based on YOLOV7 algorithm.
Ruohan Wang, Yu Li
openaire +2 more sources
YOLOv3_ReSAM: A Small-Target Detection Method
Electronics, 2022 Small targets in long-distance aerial photography have the problems of small size and blurry appearance, and traditional object detection algorithms face great challenges in the field of small-object detection. With the collection of massive data in the information age, traditional object detection algorithms have been gradually replaced by deep ...
Liu, Bailin +3 more
openaire +1 more source
A model for the detection of moving targets in visual clutter inspired by insect physiology [PDF]
, 2008 We present a computational model for target discrimination based on intracellular recordings from neurons in the fly visual system. Determining how insects detect and track small moving features, often against cluttered moving backgrounds, is an ...
Steven D. Wiederman +8 more
core +2 more sources
Survey of Video Based Small Target Detection
, 2021 Video based target detection is an important research content in intelligent video surveillance, which extracts foreground objects from background images in video sequences. Video based target detection has developed rapidly in recent years. In practical
Gong, Yanchao +4 more
core +1 more source