Results 31 to 40 of about 159,708 (297)
Lightweight multi-scale network for small object detection [PDF]
PeerJ Computer Science, 2022 Small object detection is widely used in the real world. Detecting small objects in complex scenes is extremely difficult as they appear with low resolution.
Li Li, Bingxue Li, Hongjuan Zhou
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Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos [PDF]
, 2022 This paper addresses the problem of exploiting spatiotemporal information to improve small object detection precision in video. We propose a two-stage object detector called FANet based on short-term spatiotemporal feature aggregation and long-term ...
Mucientes Molina, Manuel Felipe +2 more
core +1 more source
Small Object Detection Based on Improved YOLOv7 [PDF]
Jisuanji gongcheng, 2023 Despite advancements in object detection technology, Small Object Detection(SOD) is still difficult to research.To address the challenge of easily missing detection in the process of object detection, this study proposes an improved YOLOv7 object ...
QI Linglong, GAO Jianling
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YOLOv8 with Post-Processing for Small Object Detection Enhancement
Applied SciencesSmall-object detection in images, a core task in unstructured big-data analysis, remains challenging due to low resolution, background noise, and occlusion.
Jinkyu Ryu, Dongkurl Kwak, Seungmin Choi
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Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
Remote Sensing, 2023 With the accelerated development of artificial intelligence, remote-sensing image technologies have gained widespread attention in smart cities. In recent years, remote sensing object detection research has focused on detecting and counting small dense ...
Xuan Wang +4 more
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Focus-and-Detect: A small object detection framework for aerial images
Signal Processing: Image Communication, 2022 Despite recent advances, object detection in aerial images is still a challenging task. Specific problems in aerial images makes the detection problem harder, such as small objects, densely packed objects, objects in different sizes and with different orientations.
Onur Can Koyun +3 more
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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
doaj +1 more source
Contextualized Small Target Detection Network for Small Target Goat Face Detection
, 2023 With the advancement of deep learning technology, the importance of utilizing deep learning for livestock management is becoming increasingly evident. goat face detection provides a foundation for goat recognition and management.
Hongwei Du +4 more
core +1 more source
Small object detection and tracking from aerial imagery
, 2021 Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training set of modern-day object detectors,
Aktaş, Mustafa, Ateş, Hasan Fehmi
core +1 more source
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.
Mate Kisantal +4 more
openaire +2 more sources