Results 21 to 30 of about 9,950,964 (296)
Siamese Network Tracker Based on Multi-Scale Feature Fusion
Systems, 2023 The main task in visual object tracking is to track a moving object in an image sequence. In this process, the object’s trajectory and behavior can be described by calculating the object’s position, velocity, acceleration, and other parameters or by memorizing the position of the object in each frame of the corresponding video. Therefore, visual object
Jiaxu Zhao 0003, Dapeng Niu
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, 2023 Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
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Adaptive Weighted Multi-Level Fusion of Multi-Scale Features: A New Approach to Pedestrian Detection
Future Internet, 2021 Great achievements have been made in pedestrian detection through deep learning. For detectors based on deep learning, making better use of features has become the key to their detection effect.
Yao Xu, Qin Yu
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YOLO-Based Multi-Modal Weighted Fusion Pedestrian Detection Algorithm [PDF]
Jisuanji gongcheng, 2021 The performance of single-modal pedestrian detection algorithms based on visible images is limited in the cases of insufficient light at night, lack of information caused by target occlusion, and multi-scale targets. In order to improve the robustness of
SHI Zheng, MAO Li, SUN Jun
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Multi-scale feature fusion method based on task design.
, 2022 Multi-scale feature fusion method based on task design.
Guoxiong Zhou (12245608) +7 more
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Remote Sensing, 2021 Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance.
Dongxu Liu +6 more
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Multi-Scale Feature Fusion for Interior Style Detection
Applied Sciences, 2022 Text-based search engines can extract various types of information when a user enters an appropriate search query. However, a text-based search often fails in image retrieval when image understanding is needed.
Akitaka Yaguchi +4 more
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PLU-Net: Extraction of multi-scale feature fusion
CoRR, 2023 11 pages, 9 ...
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Multi‐scale feature fusion network for person re‐identification [PDF]
IET Image Processing, 2020 Recently, it is becoming a challenging work for person re‐identification due to the problems of occlusion, blurring and posture. The key of effective person re‐identification is to capture sufficient detailed features of a person's appearance in images.
Yongjie Wang +2 more
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Remote Sensing, 2023 In recent years, there have been many multimodal works in the field of remote sensing, and most of them have achieved good results in the task of land-cover classification.
Maqun Zhang +5 more
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