Results 11 to 20 of about 74,666 (264)
Multiscale Feature Extraction and Fusion of Image and Text in VQA
International Journal of Computational Intelligence Systems, 2023 The Visual Question Answering (VQA) system is the process of finding useful information from images related to the question to answer the question correctly.
Siyu Lu +5 more
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Multi‐scale feature fusion pyramid attention network for single image dehazing
IET Image Processing, 2023 Texture and color distortion are common in existing learning‐based dehazing algorithms, and it is argued that one of the major reasons is that the shallow features of fog images are underutilized, and the deep features of fog images are insufficient for ...
Jianlei Liu, Peng Liu, Yuanke Zhang
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Adaptive Feature Pyramid Networks for Object Detection
IEEE Access, 2021 In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large scale range of objects in object detection, which makes use of multi ...
Chengyang Wang, Caiming Zhong
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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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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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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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An Optimized PatchMatch for multi-scale and multi-feature label fusion [PDF]
NeuroImage, 2016 Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches have demonstrated state-of-the-art segmentation accuracy. In this paper, we introduce a new patch-based label fusion framework to perform segmentation of anatomical structures.
Rémi Giraud +5 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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Progressively Multi-Scale Feature Fusion for Image Inpainting
Mathematics, 2023 The rapid advancement of Wise Information Technology of med (WITMED) has made the integration of traditional Chinese medicine tongue diagnosis and computer technology an increasingly significant area of research.
Wu Wen +4 more
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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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