Results 201 to 210 of about 23,891 (225)
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Food nutrition estimation with RGB-D fusion module and bidirectional feature pyramid network
Multimedia SystemsBoyuan Ma, Dongling Zhang, Xiao-jun Wu
semanticscholar +2 more sources
IEEE Internet of Things Journal
Recognizing smoke in satellite imagery is a critical approach in an Internet of Things (IoT) system for monitoring forest fires. However, the task remains challenging due to false alarms of smoke-like occurrences caused by complex land cover types, and ...
Huanjie Tao
semanticscholar +2 more sources
Recognizing smoke in satellite imagery is a critical approach in an Internet of Things (IoT) system for monitoring forest fires. However, the task remains challenging due to false alarms of smoke-like occurrences caused by complex land cover types, and ...
Huanjie Tao
semanticscholar +2 more sources
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Multi-scale ship detection for remote sensing images is always a popular research field in civil and military application. In this paper, in order to solve the feature information single pathway flow in feature layer causes the lack of detailed information in the deep feature layer, we propose a bidirectional pathway feature pyramid networks (BP-FPN ...
Guanhua Jiang +4 more
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Multi-scale ship detection for remote sensing images is always a popular research field in civil and military application. In this paper, in order to solve the feature information single pathway flow in feature layer causes the lack of detailed information in the deep feature layer, we propose a bidirectional pathway feature pyramid networks (BP-FPN ...
Guanhua Jiang +4 more
openaire +1 more source
Robust Flame Detection Based on YOLOv5 and Bidirectional Feature Pyramid
2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA), 2023Fire is a great threat to people's lives and property, and its casualties are in a high position in all kinds of disasters. So it is of great significance to find and prevent fires.
Chu Jia
semanticscholar +1 more source
Measurement science and technology
In recent years, intelligent object detection technology has been applied to many industries. However, the high leakage rate of multiple defects and inefficient detection speed hinders the application of intelligent technology in steel surface defect ...
Guizhong Fu +5 more
semanticscholar +1 more source
In recent years, intelligent object detection technology has been applied to many industries. However, the high leakage rate of multiple defects and inefficient detection speed hinders the application of intelligent technology in steel surface defect ...
Guizhong Fu +5 more
semanticscholar +1 more source
2025 International Conference on Artificial Intelligence, Digital Media Technology and Social Computing (ICAIDS)
Garbage recycling, a crucial strategy for managing waste pollution, has gained significant attention and recognition. Traditional manual methods for garbage classification and recycling often suffer from low efficiency and demand considerable human and ...
Rengui Mai
semanticscholar +1 more source
Garbage recycling, a crucial strategy for managing waste pollution, has gained significant attention and recognition. Traditional manual methods for garbage classification and recycling often suffer from low efficiency and demand considerable human and ...
Rengui Mai
semanticscholar +1 more source
2025 International Conference on Machine Intelligence and Smart Innovation (ICMISI)
Target detection in remote sensing imaging is impeded by difficulties in obtaining semantic information from diminutive objects and differentiating amongst like targets. This frequently results in inadequate performance from current detection techniques.
Essam M. Abd Elhamied Hassane +3 more
semanticscholar +1 more source
Target detection in remote sensing imaging is impeded by difficulties in obtaining semantic information from diminutive objects and differentiating amongst like targets. This frequently results in inadequate performance from current detection techniques.
Essam M. Abd Elhamied Hassane +3 more
semanticscholar +1 more source
Proceedings of the 2025 3rd International Conference on Mathematics and Machine Learning
Multi-Object Tracking (MOT) computer vision task is a problem because of the crowded situation, overlaps, and changes in scale. The recent progress in object detection has enhanced tracking, though the current techniques have problems in accurate ...
Aba Agi Kader Aba Agi +2 more
semanticscholar +1 more source
Multi-Object Tracking (MOT) computer vision task is a problem because of the crowded situation, overlaps, and changes in scale. The recent progress in object detection has enhanced tracking, though the current techniques have problems in accurate ...
Aba Agi Kader Aba Agi +2 more
semanticscholar +1 more source
Textiles
Fabric defect detection is one of the most significant challenges in the textile industry due to its critical role in quality assessment and management.
Aws Mohammed Alkhazraji +2 more
semanticscholar +1 more source
Fabric defect detection is one of the most significant challenges in the textile industry due to its critical role in quality assessment and management.
Aws Mohammed Alkhazraji +2 more
semanticscholar +1 more source