Results 41 to 50 of about 1,485,416 (350)
EABI-DETR: An Efficient Aerial Small Object Detection Network. [PDF]
Biomimetics (Basel)Small object detection, as an important research topic in computer vision, has been widely applied in aerial visual tasks such as remote sensing and UAV imagery.
Li F, Zhang Y, Fan Y.
europepmc +2 more sources
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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Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning [PDF]
IEEE International Conference on Computer Vision, 2023 The past few years have witnessed the immense success of object detection, while current excellent detectors struggle on tackling size-limited instances.
Xiang Yuan +4 more
semanticscholar +1 more source
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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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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Challenges in video based object detection in maritime scenario using computer vision [PDF]
, 2016 This paper discusses the technical challenges in maritime image processing and machine vision problems for video streams generated by cameras. Even well documented problems of horizon detection and registration of frames in a video are very challenging ...
Prasad, D. K. +5 more
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HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection [PDF]
IEEE International Conference on Multimedia and ExpoInfrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels. However, it encounters difficulties due to the diminutive size of
Shibiao Xu +8 more
semanticscholar +1 more source
On Pairwise Costs for Network Flow Multi-Object Tracking [PDF]
, 2015 Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks.
Chari, Visesh +3 more
core +1 more source
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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