Výsledky vyhledávání - "Image coding"

Context Encoding for Semantic Segmentation Autor Zhang, Hang, Dana, Kristin, Shi, Jianping, Zhang, Zhongyue, Wang, Xiaogang, Tyagi, Ambrish, Agrawal, Amit

“…Recent work has made significant progress in improving spatial resolution for pixelwise labeling with Fully Convolutional Network (FCN) framework by employing…”
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Near‐infrared spectroscopy coupled with Gramian angular field two‐dimensional convolutional neural network for white tea adulteration detection Autor Zhang, Peng, Cheng, Jun, Chen, Qinglan, Zheng, Zhiqiang, Wei, Chengjiang, Zou, Tengyue, Sun, Weijiang, Huang, Yan

“…BACKGROUND The flavor profile and product quality of white tea, heavily dependent on its place of origin, significantly influence consumers' purchasing…”
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Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems Autor Guo, Jiajia, Wen, Chao-Kai, Jin, Shi, Li, Geoffrey Ye

“…Many performance gains achieved by massive multiple-input and multiple-output depend on the accuracy of the downlink channel state information (CSI) at the…”
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Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models Autor Blattmann, Andreas, Rombach, Robin, Ling, Huan, Dockhorn, Tim, Kim, Seung Wook, Fidler, Sanja, Kreis, Karsten

“…Latent Diffusion Models (LDMs) enable high-quality image synthesis while avoiding excessive compute demands by training a diffusion model in a compressed…”
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Compact Representation of High-Dimensional Feature Vectors for Large-Scale Image Recognition and Retrieval Autor Zhang, Yu, Wu, Jianxin, Cai, Jianfei

“…In large-scale visual recognition and image retrieval tasks, feature vectors, such as Fisher vector (FV) or the vector of locally aggregated descriptors…”
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Residual Dense Network for Image Restoration Autor Zhang, Yulun, Tian, Yapeng, Kong, Yu, Zhong, Bineng, Fu, Yun

“…Recently, deep convolutional neural network (CNN) has achieved great success for image restoration (IR) and provided hierarchical features at the same time…”
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Bandwidth-Agile Image Transmission With Deep Joint Source-Channel Coding Autor Kurka, David Burth, Gunduz, Deniz

“…We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which…”
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Image Coding For Machines: an End-To-End Learned Approach Autor Le, Nam, Zhang, Honglei, Cricri, Francesco, Ghaznavi-Youvalari, Ramin, Rahtu, Esa

“…Over recent years, deep learning-based computer vision systems have been applied to images at an ever-increasing pace, oftentimes representing the only type of…”
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From Show to Tell: A Survey on Deep Learning-Based Image Captioning Autor Stefanini, Matteo, Cornia, Marcella, Baraldi, Lorenzo, Cascianelli, Silvia, Fiameni, Giuseppe, Cucchiara, Rita

“…Connecting Vision and Language plays an essential role in Generative Intelligence. For this reason, large research efforts have been devoted to image…”
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StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery Autor Patashnik, Or, Wu, Zongze, Shechtman, Eli, Cohen-Or, Daniel, Lischinski, Dani

“…Inspired by the ability of StyleGAN to generate highly realistic images in a variety of domains, much recent work has focused on understanding how to use the…”
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DenseFuse: A Fusion Approach to Infrared and Visible Images Autor Li, Hui, Wu, Xiao-Jun

“…In this paper, we present a novel deep learning architecture for infrared and visible images fusion problems. In contrast to conventional convolutional…”
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End-to-End Blind Image Quality Assessment Using Deep Neural Networks Autor Ma, Kede, Liu, Wentao, Zhang, Kai, Duanmu, Zhengfang, Wang, Zhou, Zuo, Wangmeng

“…We propose a multi-task end-to-end optimized deep neural network (MEON) for blind image quality assessment (BIQA). MEON consists of two sub-networks-a…”
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Nonlinear Transform Source-Channel Coding for Semantic Communications Autor Dai, Jincheng, Wang, Sixian, Tan, Kailin, Si, Zhongwei, Qin, Xiaoqi, Niu, Kai, Zhang, Ping

“…In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that can closely adapt to the source distribution under the…”
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Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement Autor Yang, Wenhan, Wang, Wenjing, Huang, Haofeng, Wanga, Shiqi, Liu, Jiaying

“…Due to the absence of a desirable objective for low-light image enhancement, previous data-driven methods may provide undesirable enhanced results including…”
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Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation Autor Richardson, Elad, Alaluf, Yuval, Patashnik, Or, Nitzan, Yotam, Azar, Yaniv, Shapiro, Stav, Cohen-Or, Daniel

“…We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly…”
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Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Autor Shao, Jiawei, Mao, Yuyi, Zhang, Jun

“…This paper investigates task-oriented communication for edge inference, where a low-end edge device transmits the extracted feature vector of a local data…”
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Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules Autor Xu, Jialong, Ai, Bo, Chen, Wei, Yang, Ang, Sun, Peng, Rodrigues, Miguel

“…Recent research on joint source channel coding (JSCC) for wireless communications has achieved great success owing to the employment of deep learning (DL)…”
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Self-Distillation: Towards Efficient and Compact Neural Networks Autor Zhang, Linfeng, Bao, Chenglong, Ma, Kaisheng

“…Remarkable achievements have been obtained by deep neural networks in the last several years. However, the breakthrough in neural networks accuracy is always…”
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Toward Semantic Communications: Deep Learning-Based Image Semantic Coding Autor Huang, Danlan, Gao, Feifei, Tao, Xiaoming, Du, Qiyuan, Lu, Jianhua

“…Semantic communications has received growing interest since it can remarkably reduce the amount of data to be transmitted without missing critical information…”
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ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Autor Jian-Hao Luo, Jianxin Wu, Weiyao Lin

“…We propose an efficient and unified framework, namely ThiNet, to simultaneously accelerate and compress CNN models in both training and inference stages. We…”
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