Multi-Stage Multi-Scale Local Feature Fusion for Infrared Small Target Detection
Remote Sensing, 2023 The detection of small infrared targets with dense distributions and large-scale variations is an extremely challenging problem. This paper proposes a multi-stage, multi-scale local feature fusion method for infrared small target detection to address ...
Yahui Wang +3 more
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MSLF-Net: A Multi-Scale and Multi-Level Feature Fusion Net for Diabetic Retinopathy Segmentation
Diagnostics, 2022 Diabetic Retinopathy (DR) is a diabetic complication that predisposes patients to visual impairments that could lead to blindness. Lesion segmentation using deep learning algorithms is an effective measure to screen and prevent early DR.
Haitao Yan +4 more
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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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A multi-scale feature fusion gaze estimation model based on convolutional neural network and vision transformer [PDF]
Scientific ReportsTo address ineffective feature fusion and feature loss in gaze estimation under unconstrained environments, this study proposes a multi-scale feature fusion model, CAF-ViT (Cross-Attention Fusion Vision Transformer).
Peng Wang +3 more
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Attention‐based multi‐scale feature fusion for free‐space detection
IET Intelligent Transport Systems, 2022 Free space detection is a very important task in road scene understanding. With the continued development of convolutional neural networks, free‐space detection can be seen as a class‐specific semantic segmentation problem.
Pengfei Song +3 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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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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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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