Results 31 to 40 of about 2,406,817 (286)
An Improved SSD for small target detection [PDF]
2021 6th International Conference on Multimedia and Image Processing, 2021 SSD is one of heuristic one-stage target detection approaches. Although it has got impressive results in general target detection, it still struggles in small-size object detection and precise location. In this paper, we proposed an improved SSD which forces on the small-size target detection.
Xiang Li, HaiBo Luo
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Road User Detection in Videos [PDF]
, 1963 Successive frames of a video are highly redundant, and the most popular object detection methods do not take advantage of this fact. Using multiple consecutive frames can improve detection of small objects or difficult examples and can improve speed and ...
Perreault, Hughes +3 more
core +4 more sources
Stationary and Mobile Target Detection using Mobile Wireless Sensor Networks
, 2010 In this work, we study the target detection and tracking problem in mobile sensor networks, where the performance metrics of interest are probability of detection and tracking coverage, when the target can be stationary or mobile and its duration is ...
Guclu, Hasan, Yanmaz, Evsen
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YOLO-DSNet for Small Target Detection
Applied SciencesSmall target detection in Unmanned Aerial Vehicle (UAV) applications is often plagued by inherent challenges such as small object sizes, sparse information, and complex background interference.
Haokun Xu +4 more
doaj +1 more source
Detection of spin polarization with a side coupled quantum dot
, 2009 We propose realistic methods to detect local spin polarization, which utilize a quantum dot side coupled to the target system. By choosing appropriate states in the dot, we can put spin selectivity to the dot and detect spins in the target with small ...
E. I. Rashba +4 more
core +1 more source
Target Driven Adaptive Loss for Infrared Small Target Detection
2025 IEEE International Conference on Image Processing (ICIP)We propose a target driven adaptive (TDA) loss to enhance the performance of infrared small target detection (IRSTD). Prior works have used loss functions, such as binary cross-entropy loss and IoU loss, to train segmentation models for IRSTD. Minimizing these loss functions guides models to extract pixel-level features or global image context. However,
Shoji, Yuho +2 more
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A double-threshold target detection method in detecting low slow small target
Procedia Computer Science, 2020 Abstract With the rapid development of Unmanned Aerial Vehicle (UAV), stealth warship and stealth tank, the mission of radar has become more difficult. The modern radar system must detect and track target through strong clutter from many aspect, such as ground and sea.
Jie Yu +3 more
openaire +1 more source
Thermodynamics-Inspired Multi-Feature Network for Infrared Small Target Detection
Remote Sensing, 2023 Infrared small target detection (IRSTD) is widely used in many fields such as detection and guidance systems and is of great research importance. However, small targets in infrared images are typically small, blurry, feature-poor, and prone to being ...
Mingjin Zhang +5 more
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IEEE AccessThis paper proposes an innovative approach for detecting defects in insulators of overhead transmission lines. It employs a real-time object detector (RT-DETR) model named RESRTDETR to address the challenges faced by traditional methods in multi-object ...
Chen Xi +5 more
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Robust Small Target Co-Detection from Airborne Infrared Image Sequences
Sensors, 2017 In this paper, a novel infrared target co-detection model combining the self-correlation features of backgrounds and the commonality features of targets in the spatio-temporal domain is proposed to detect small targets in a sequence of infrared images ...
Jingli Gao, Chenglin Wen, Meiqin Liu
doaj +1 more source