Results 11 to 20 of about 9,950,964 (296)
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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Object Detection in Remote Sensing Images Based on Adaptive Multi-Scale Feature Fusion Method
Remote SensingMulti-scale object detection is critical for analyzing remote sensing images. Traditional feature pyramid networks, which are aimed at accommodating objects of varying sizes through multi-level feature extraction, face significant challenges due to the ...
Chun Liu +3 more
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ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model
, 2022 Cell segmentation and counting is a time-consuming and important experimental step in traditional biomedical research. Many current counting methods are Point-based methods which require exact cell locations.
SH Wang (7719563) +2 more
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Multi-Scale Boosted Dehazing Network With Dense Feature Fusion [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 In this paper, we propose a Multi-Scale Boosted Dehazing Network with Dense Feature Fusion based on the U-Net architecture. The proposed method is designed based on two principles, boosting and error feedback, and we show that they are suitable for the dehazing problem.
Hang Dong 0001 +6 more
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Scene Uyghur Text Detection Based on Fine-Grained Feature Representation
Sensors, 2022 Scene text detection task aims to precisely localize text in natural environments. At present, the application scenarios of text detection topics have gradually shifted from plain document text to more complex natural scenarios.
Yiwen Wang +4 more
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An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion [PDF]
CoRR, 2016 Neuroimage ...
Rémi Giraud +6 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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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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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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