Results 21 to 30 of about 86,509 (306)
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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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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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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PLU-Net: Extraction of multi-scale feature fusion
CoRR, 2023 11 pages, 9 ...
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Multi-scale Feature Extraction and Fusion for Online Knowledge Distillation
, 2022 Online knowledge distillation conducts knowledge transfer among all student models to alleviate the reliance on pre-trained models. However, existing online methods rely heavily on the prediction distributions and neglect the further exploration of the representational knowledge.
Panpan Zou, Yinglei Teng, Tao Niu
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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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Multi-channel feature fusion process diagram.
, 2022 Multi-channel feature fusion process diagram.
Guoxiong Zhou (12245608) +7 more
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Single-Stage Object Detection Algorithm Based on Dilated Convolution and Feature Enhancement [PDF]
Jisuanji gongcheng, 2021 The shallow feature map of the object detection algorithm based on Convolutional Neural Network(CNN) lacks semantic information,while the deep feature map lacks detailed information.In order to fully exploit shallow and deep feature maps and solve the ...
JIANG Jun, ZHAI Donghai
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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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Effect comparison chart of multi-scale feature fusion.
, 2022 Effect comparison chart of multi-scale feature fusion.
Guoxiong Zhou (12245608) +7 more
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