Atrous convolutions spatial pyramid network for crowd counting and density estimation
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.065
Abstract: Abstract Scale variation because of perspective distortion is still a challenge for crowd analysis. To address this problem, an atrous convolutions spatial pyramid network (ACSPNet) is proposed to perform crowd counts and density maps for… read more here.
Keywords: convolutions spatial; spatial pyramid; crowd counting; atrous convolutions ... See more keywords
Scale-aware spatial pyramid pooling with both encoder-mask and scale-attention for semantic segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.11.042
Abstract: Abstract This paper focuses on semantic segmentation of scenes by capturing the appropriate scale, rich detail and contextual dependencies in a feature representation. Semantic segmentation is a pixel-level classification task and has made steady progress… read more here.
Keywords: aware spatial; scale aware; spatial pyramid; semantic segmentation ... See more keywords
Shape and Texture Aware Facial Expression Recognition Using Spatial Pyramid Zernike Moments and Law’s Textures Feature Set
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069881
Abstract: Facial expression recognition (FER) requires better descriptors to represent the face patterns as the facial region changes due to the movement of the face muscles during an expression. In this paper, a method of concatenating… read more here.
Keywords: expression; facial expression; pyramid zernike; expression recognition ... See more keywords
Segmentation and Evaluation of Crack Image From Aircraft Fuel Tank via Atrous Spatial Pyramid Fusion and Hybrid Attention Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3272052
Abstract: Jet fuel leaks not only waste resources and increase costs but also pose a risk of emergency landings and aviation accidents. With the blossom and implementation of deep learning, crack segmentation techniques have been rapidly… read more here.
Keywords: crack; network; fuel; spatial pyramid ... See more keywords
An Extremely Effective Spatial Pyramid and Pixel Shuffle Upsampling Decoder for Multiscale Monocular Depth Estimation
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4668001
Abstract: To estimate the accurate depth from a single image, we proposed a novel and effective depth estimation architecture to solve the problem of missing and blurred contours of small objects in the depth map. The… read more here.
Keywords: depth; spatial pyramid; extremely effective; depth estimation ... See more keywords
AtICNet: semantic segmentation with atrous spatial pyramid pooling in image cascade network
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1445-x
Abstract: This paper describes a new type of image segmentation method based on deep convolutional neural networks (DCNN) in the actual autonomous driving scene. The spatial pyramid pooling model is used to identify and segment the… read more here.
Keywords: pyramid pooling; spatial pyramid; image; image cascade ... See more keywords
MRI brain tumor segmentation using residual Spatial Pyramid Pooling-powered 3D U-Net
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2023.1091850
Abstract: Brain tumor diagnosis has been a lengthy process, and automation of a process such as brain tumor segmentation speeds up the timeline. U-Nets have been a commonly used solution for semantic segmentation, and it uses… read more here.
Keywords: spatial pyramid; tumor segmentation; brain tumor; brain ... See more keywords
Compact Spatial Pyramid Pooling Deep Convolutional Neural Network Based Hand Gestures Decoder
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10217898
Abstract: Current deep learning convolutional neural network (DCNN) -based hand gesture detectors with acute precision demand incredibly high-performance computing power. Although DCNN-based detectors are capable of accurate classification, the sheer computing power needed for this form… read more here.
Keywords: neural network; spatial pyramid; convolutional neural; hand ... See more keywords
Mixed Receptive Fields Augmented YOLO with Multi-Path Spatial Pyramid Pooling for Steel Surface Defect Detection
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115114
Abstract: Aiming at the problems of low detection efficiency and poor detection accuracy caused by texture feature interference and dramatic changes in the scale of defect on steel surfaces, an improved YOLOv5s model is proposed. In… read more here.
Keywords: steel; spatial pyramid; multi path; detection ... See more keywords