Výsledky vyhledávání - "Pattern recognition"

A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Autor Xu, Mingle, Yoon, Sook, Fuentes, Alvaro, Park, Dong Sun

“…•We examine challenges and vicinity distribution to demonstrate the necessity of image augmentation for deep learning.•We present a comprehensive survey on…”
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U2-Net: Going deeper with nested U-structure for salient object detection Autor Qin, Xuebin, Zhang, Zichen, Huang, Chenyang, Dehghan, Masood, Zaiane, Osmar R., Jagersand, Martin

“…•A novel ReSidual U-block (RSU) is designed to capture multi-scale deep features.•A nested U-structure, called U2-Net, that uses RSU is developed for salient…”
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An effective CNN and Transformer complementary network for medical image segmentation Autor Yuan, Feiniu, Zhang, Zhengxiao, Fang, Zhijun

“…•We design dual encoding paths of CNN and Transformer encoders for producing complementary features..•We propose an effective feature complementary module by…”
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YOLO-FaceV2: A scale and occlusion aware face detector Autor Yu, Ziping, Huang, Hongbo, Chen, Weijun, Su, Yongxin, Liu, Yahui, Wang, Xiuying

“…In recent years, face detection algorithms based on deep learning have made great progress. Nevertheless, the effective utilization of face detectors for small…”
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3D Object Detection for Autonomous Driving: A Survey Autor Qian, Rui, Lai, Xin, Li, Xirong

“…•Notice that no recent literature exists to collect the growing knowledge concerning 3D object detection, we fill this gap by starting with several basic…”
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Reconstruction by inpainting for visual anomaly detection Autor Zavrtanik, Vitjan, Kristan, Matej, Skočaj, Danijel

“…•A reconstruction-by-inpainting-based anomaly detection method (RIAD) was proposed.•RIAD achieves state-of-the-art performance on anomaly detection and…”
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Hypergraph convolution and hypergraph attention Autor Bai, Song, Zhang, Feihu, Torr, Philip H.S.

“…•Hypergraph convolution defines a basic convolutional operator in a hypergraph. It enables an efficient information propagation between vertices by fully…”
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Multi-stage image denoising with the wavelet transform Autor Tian, Chunwei, Zheng, Menghua, Zuo, Wangmeng, Zhang, Bob, Zhang, Yanning, Zhang, David

“…•A dynamic convolution is used into a CNN to address limitations in depth and width of lightweight CNNs for pursuing good denoising performance.•The…”
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Sensor-based and vision-based human activity recognition: A comprehensive survey Autor Minh Dang, L., Min, Kyungbok, Wang, Hanxiang, Jalil Piran, Md, Hee Lee, Cheol, Moon, Hyeonjoon

“…•A comprehensive review of vision-based and sensor-based human activity recognition.•Summarize and discuss public datasets that are used in vision-based HAR…”
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Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Autor Wu, Zifeng, Shen, Chunhua, van den Hengel, Anton

“…•We further develop the unravelled view of ResNets, which helps us better understand their behaviours. We demonstrate this in the context of a training…”
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Understanding adversarial attacks on deep learning based medical image analysis systems Autor Ma, Xingjun, Niu, Yuhao, Gu, Lin, Wang, Yisen, Zhao, Yitian, Bailey, James, Lu, Feng

“…•Medical image DNNs are easier to be attacked than natural non-medical image DNNs.•Complex biological textures of medical images may lead to more vulnerable…”
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Underwater scene prior inspired deep underwater image and video enhancement Autor Li, Chongyi, Anwar, Saeed, Porikli, Fatih

“…•Underwater image and video synthesis approach is desired by data-driven methods.•Underwater scene prior is helpful for underwater image and video…”
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Recent advances in convolutional neural networks Autor Gu, Jiuxiang, Wang, Zhenhua, Kuen, Jason, Ma, Lianyang, Shahroudy, Amir, Shuai, Bing, Liu, Ting, Wang, Xingxing, Wang, Gang, Cai, Jianfei, Chen, Tsuhan

“…•We give an overview of the basic components of CNN.•We discuss the improvements of CNN on different aspects, namely, layer design, activation function, loss…”
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Binary neural networks: A survey Autor Qin, Haotong, Gong, Ruihao, Liu, Xianglong, Bai, Xiao, Song, Jingkuan, Sebe, Nicu

“…•We summarize the binary neural network methods and categorize them into the naive binarization and the optimized binarization.•The binary neural networks are…”
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The impact of class imbalance in classification performance metrics based on the binary confusion matrix Autor Luque, Amalia, Carrasco, Alejandro, Martín, Alejandro, de las Heras, Ana

“…•Imbalance coefficient fosters measuring imbalance.•Geometric Mean and Bookmaker Informedness constitute the best unbiased metrics.•Matthews Correlation…”
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Wild patterns: Ten years after the rise of adversarial machine learning Autor Biggio, Battista, Roli, Fabio

“…•We provide a detailed review of the evolution of adversarial machine learning over the last ten years.•We start from pioneering work up to more recent work…”
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ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection Autor Shen, Jifeng, Chen, Yifei, Liu, Yue, Zuo, Xin, Fan, Heng, Yang, Wankou

“…Effective feature fusion of multispectral images plays a crucial role in multispectral object detection. Previous studies have demonstrated the effectiveness…”
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Financial time series forecasting with multi-modality graph neural network Autor Cheng, Dawei, Yang, Fangzhou, Xiang, Sheng, Liu, Jin

“…Financial time series analysis plays a central role in hedging market risks and optimizing investment decisions. This is a challenging task as the problems are…”
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Federated learning for medical image analysis: A survey Autor Guan, Hao, Yap, Pew-Thian, Bozoki, Andrea, Liu, Mingxia

“…Machine learning in medical imaging often faces a fundamental dilemma, namely, the small sample size problem. Many recent studies suggest using multi-domain…”
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Improving person re-identification by attribute and identity learning Autor Lin, Yutian, Zheng, Liang, Zheng, Zhedong, Wu, Yu, Hu, Zhilan, Yan, Chenggang, Yang, Yi

“…•We annotate attribute labels on two large-scale person re-identification datasets.•We propose APR to improve re-ID by exploiting global and detailed…”
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