Results 21 to 30 of about 832,071 (273)
Centered Multi-Task Generative Adversarial Network for Small Object Detection
Sensors, 2021 Despite the breakthroughs in accuracy and efficiency of object detection using deep neural networks, the performance of small object detection is far from satisfactory. Gaze estimation has developed significantly due to the development of visual sensors.
Hongfeng Wang +3 more
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Small object detection neurons in female hoverflies [PDF]
Proceedings of the Royal Society B: Biological Sciences, 2006 While predators such as dragonflies are dependent on visual detection of moving prey, social interactions make conspecific detection equally important for many non-predatory insects. Specialized ‘acute zones’ associated with target detection have evolved in several insect groups and are a prominent male-specific feature in many dipteran flies.
Nordstrom, K., O'Carroll, D.
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MC-YOLOv5: A Multi-Class Small Object Detection Algorithm
Biomimetics, 2023 The detection of multi-class small objects poses a significant challenge in the field of computer vision. While the original YOLOv5 algorithm is more suited for detecting full-scale objects, it may not perform optimally for this specific task. To address
Haonan Chen +6 more
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SSDLiteX: Enhancing SSDLite for Small Object Detection
Applied Sciences, 2023 Object detection in many real applications requires the capability of detecting small objects in a system with limited resources. Convolutional neural networks (CNNs) show high performance in object detection, but they are not adequate to resource ...
Hyeong-Ju Kang
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Adaptive Feature Fusion for Small Object Detection
Applied Sciences, 2022 In order to alleviate the situation that small objects are prone to missed detection and false detection in natural scenes, this paper proposed a small object detection algorithm for adaptive feature fusion, referred to as MMF-YOLO.
Qi Zhang, Hongying Zhang, Xiuwen Lu
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Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
Frontiers in Physiology, 2022 Object detection technology has been widely used in medical field, such as detecting the images of blood cell to count the changes and distribution for assisting the diagnosis of diseases.
Bin Hu +5 more
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Remote Sensing, 2023 In the field of object detection, deep learning models have achieved great success in recent years. Despite these advances, detecting small objects remains difficult. Most objects in aerial images have features that are a challenge for traditional object
Hao Zhang +4 more
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Augmentation for small object detection
9th International Conference on Advances in Computing and Information Technology (ACITY 2019), 2019 In recent years, object detection has experienced impressive progress. Despite these improvements, there is still a significant gap in the performance between the detection of small and large objects. We analyze the current state-of-the-art model, Mask-RCNN, on a challenging dataset, MS COCO.
Kisantal, Mate +4 more
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HRDNet: High-Resolution Detection Network for Small Objects [PDF]
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021 Small object detection is challenging because small objects do not contain detailed information and may even disappear in the deep network. Usually, feeding high-resolution images into a network can alleviate this issue. However, simply enlarging the resolution will cause more problems, such as that, it aggravates the large variant of object scale and ...
Liu, Ziming +3 more
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Small Object Detection Based on Two-Stage Calculation Transformer [PDF]
Jisuanji kexue yu tansuo, 2023 Despite the current small object detection task has achieved significant improvements, it still suffers from some problems. For example, it is a challenge to extract small object features because of little information in the scene of small objects, which
XU Shoukun, GU Jianan, ZHUANG Lihua, LI Ning, SHI Lin, LIU Yi
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