Results 11 to 20 of about 9,772,409 (292)
Centered Multi-Task Generative Adversarial Network for Small Object Detection
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
doaj +2 more sources
Aerial images have distinct characteristics, such as varying target scales, complex backgrounds, severe occlusion, small targets, and dense distribution.
Jie Luo +5 more
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SSDLiteX: Enhancing SSDLite for Small Object Detection
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
doaj +2 more sources
Adaptive Feature Fusion for Small Object Detection
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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Improved Small Object Detection Algorithm CRL-YOLOv5
Detecting small objects in images poses significant challenges due to their limited pixel representation and the difficulty in extracting sufficient features, often leading to missed or false detections.
Zhiyuan Wang +6 more
doaj +2 more sources
Spatiotemporal tubelet feature aggregation and object linking for small object detection in videos [PDF]
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
Fast human detection for video event recognition [PDF]
Human body detection, which has become a research hotspot during the last two years, can be used in many video content analysis applications. This paper investigates a fast human detection method for volume based video event detection.
Wang, J, Xu, Zhijie, Hoder, M.E.
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Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
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
doaj +1 more source
MC-YOLOv5: A Multi-Class Small Object Detection Algorithm
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
Focus-and-Detect: A small object detection framework for aerial images
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
openaire +4 more sources

