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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Compressing Deep Convolut" (23 stories)

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Visually meaningful image encryption using convolution neural networks
Lead StoryNaturegeneral
Apr 7

Visually meaningful image encryption using convolution neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE45U3VkbVU4eFBJQkEwUEtLbmdTTk5LVkxTRTY0UTFsYzdTRzNFYl81T2Y3SVZIV1VPM1cwWGZYS2dvdEFWSjBFOHQyT2hrSnEwUHFteTUxMGdwenRYcEJz?oc=5" target="_blank">Visually meaningful image encryption using convolution neural networks</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Compressing Deep Convolut"

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22 stories displayed
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters
The Association for the Advancement of Artificial Intelligencegeneral

Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE96bEJlNlRVSTYtVy1XOHVHZmxXNE85M3NBRnVwd2VRam82X19zU29KNzFjazZOUzZma1dWSzdYUVpUTEFXS2RHci1RRUNkclNma0VVQUZkZEtzV3Z5ZHVTU1E4VU4?oc=5" target="_blank">Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Multi-scale residual convolutional block-based compressive sensing image reconstruction for vehicular communication
Natureworld

Multi-scale residual convolutional block-based compressive sensing image reconstruction for vehicular communication

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5LcDBJeFhRSlFiMTk4TFEyVmNVMkplSDNYZ2dWenlKNUxaOWdTNmhaQzJiTFpxaGJNWVYyb05PdlloSUhYdnNZd0hmQVJQcU1jb3ZtWnItREdGMlpCSGpj?oc=5" target="_blank">Multi-scale residual convolutional block-based compressive sensing image reconstruction for vehicular communication</a>  <font color="#6f6f6f">Nature</font>

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Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
RSNA Journalstech

Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTE1JMzhuLUlKalNKbThyajJXSmpPVmRjb1ducGtjTWQzN3dsbENha24tdmt2eTAtVV96dHhiN1hLRl9qbHVmSS1YTkFuU2NDNllfUWk4ejRPMkhPLWVRT3c?oc=5" target="_blank">Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition</a>  <font color="#6f6f6f">RSNA Journals</font>

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How does sparse convolution work?
Towards Data Sciencegeneral

How does sparse convolution work?

<a href="https://news.google.com/rss/articles/CBMiggFBVV95cUxOZzZ0ek5TWTFMMmZvTVBOYVBzV3MyTTRyT3ptQnF5VS1ucE9VZHJQZWZLMWhnSU1KTERfNXh2MUhuUy0zUG5pMEZaZEVkQkV6OHV1cTdfdDJGWUNyTk9QWXhmUTNlVUdLR0JZV0RTWWlfX1BBTk9jaXpFdEtqOS0xZjNB?oc=5" target="_blank">How does sparse convolution work?</a>  <font color="#6f6f6f">Towards Data Science</font>

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Factorized layers revisited: Compressing deep networks without playing the lottery
Microsoftgeneral

Factorized layers revisited: Compressing deep networks without playing the lottery

<a href="https://news.google.com/rss/articles/CBMixwFBVV95cUxQQUlxZ1ZzbHRMaWRmRV9mTTJvZEd2WTF0OTM4TktvM25UdTd3dW1kM3A5TWNqS21uT0c0SWlrWlpaai02RzAwY21UenprbnA2MjFxZnpLUlp2NVJlbVBDWTlndjA4dnU5YlU0MzNvdkhaR0hYZThvemVfdDlkejNCMy1HODFCUkZ6bFRDdG1ZQkdmakxiTTRIem1TSjJIZFZ3RlZ4YTZ3NVpRVnRPVVY2bG1ldTJvQkc1M05XMkF2OV83MS1rbUE0?oc=5" target="_blank">Factorized layers revisited: Compressing deep networks without playing the lottery</a>  <font color="#6f6f6f">Microsoft</font>

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An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines
Naturegeneral

An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE56RWZZMGExRy1mNHhhNUdSMTFTUlREemtJNnctbGNHUkczeldEXzVtRjdya1B4NXJHSUZ6NlVzTGJhZXdDTGFNY1o2aGw0Z2k0V21PTEthdFhBTExudVd3?oc=5" target="_blank">An energy efficient processor array and memory controller for accurate processing of convolutional neural network-based inference engines</a>  <font color="#6f6f6f">Nature</font>

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Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
The Association for the Advancement of Artificial Intelligencegeneral

Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTE4yZ3lpVTU5cnRBVVhxMHB0bXZJOXFpaXNYc0s4bVJadFktNk9UNGpQSl9zSGotaWpRc2RIanpia1hhY2xBWWxoa3luaW5KZHEtYnB3QUdjNTN4MmstTWhTR0JjbFBPRy13T3FobA?oc=5" target="_blank">Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement
The Association for the Advancement of Artificial Intelligencegeneral

Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement

<a href="https://news.google.com/rss/articles/CBMiY0FVX3lxTE1nU2c0S19tNGllek9DdlZ4S2I0WFljUGZfWkVjeTVNZUNiOFFTOHNtZDR0T0JuRF85Z0hyUk8yNGN4ZW04cUVSQTFrYWhvZmoyRlhpRXNvZGNBeHVHOE93UmVPRQ?oc=5" target="_blank">Spatio-Temporal Deformable Convolution for Compressed Video Quality Enhancement</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Person identification with arrhythmic ECG signals using deep convolution neural network
Naturegeneral

Person identification with arrhythmic ECG signals using deep convolution neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE41OWUtd3dNMU15Tkx6di1aWVFwRDU0clcxWEVTbERCYnFPTndqM18tZmhoNFh1dG52Z3RDR25MWk9PLVNUQUFEblpVbkpfb2stT1J4VU5pTWNvWXh0dXU0?oc=5" target="_blank">Person identification with arrhythmic ECG signals using deep convolution neural network</a>  <font color="#6f6f6f">Nature</font>

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Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
The Association for the Advancement of Artificial Intelligencegeneral

Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE9qcm9GN3FESXNaUWc0M0RlY3dsWS1ET19TNjdFdF9wZVhjMzFmY2d4Q2FLN3RJMkF4a3ZjcnRmaU5xZ1dsV1VsY256R29SUWZJcW53Q2syWVlmZWxpSGs0UUtCSzk?oc=5" target="_blank">Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Fast reconstruction of EEG signal compression sensing based on deep learning
Naturegeneral

Fast reconstruction of EEG signal compression sensing based on deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9lUmNZQzNSYVA0aHZPQ05LakYtcFptaDlJRVdpUmJUTTFGTzdvOXk1SV9RWVl4QjJQYVZaRUNjS21ndUx6X2hhTTRPWml3c1RyeU0xemRQaUowVGRGLUtR?oc=5" target="_blank">Fast reconstruction of EEG signal compression sensing based on deep learning</a>  <font color="#6f6f6f">Nature</font>

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Memristor-based storage system with convolutional autoencoder-based image compression network
Naturegeneral

Memristor-based storage system with convolutional autoencoder-based image compression network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA2R3EzUEtLSlNKNHY5dW41c19RRFFrSmItM01ZWU55SVotWHNPMWx6LXJHLUZSVGMwT1QtdV9qVE1FSjBKdW1PUzJUMVEtQ0tpNk1aM2JfREdmMFpxdUR3?oc=5" target="_blank">Memristor-based storage system with convolutional autoencoder-based image compression network</a>  <font color="#6f6f6f">Nature</font>

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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones
Naturegeneral

A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEbDliRTJfaVhMVDZXcHI4TEVuMHdSVWhHd2U5d2NOalZyUVBYOTJoaGt2QzFPN1EwM002U0pEaXY3NWVrME1hWkl3bXc2NDIxb29FWVR4SUp0R2RIbWVJ?oc=5" target="_blank">A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones</a>  <font color="#6f6f6f">Nature</font>

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Learning to compress electrocardiogram signals on a quick response code
Naturegeneral

Learning to compress electrocardiogram signals on a quick response code

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBsUjFHdUhXbXlDdmd1d0ZVOXZqSkdCNW9Vc0xOV1BOODRPcEdWQjlkOTdqdzBFNlFxQko2cVF1d19vM3RQZGJqQWVieXBoZXpTOGRRU0x0RjBGRzZaTGhN?oc=5" target="_blank">Learning to compress electrocardiogram signals on a quick response code</a>  <font color="#6f6f6f">Nature</font>

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Lightweight Unet with depthwise separable convolution for skin lesion segmentation
Natureworld

Lightweight Unet with depthwise separable convolution for skin lesion segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE51Q2NDYmpIUElOc2xPQWhlenVBY1E1dnFocHhrRkhobzRReHdXQ3FpekJVYXJhRTBJa2IySVZIaHlacHVDenF3ZjNOY0Rna3BJVGhyN2hXWU90dzg5aTdF?oc=5" target="_blank">Lightweight Unet with depthwise separable convolution for skin lesion segmentation</a>  <font color="#6f6f6f">Nature</font>

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Ancient mural segmentation based on a deep separable convolution network
Naturegeneral

Ancient mural segmentation based on a deep separable convolution network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Cejk1TVBMRS1taTJ4Z3ljeUxwZFpaQ1ZobjR2SWJlaURBaWN4N1A1MXR0Y3NLdWdQY3NRY3JNd3lUcDR6c1FHandLZ2s1QTNUVzFPLUFnNm9mZFVRNTNn?oc=5" target="_blank">Ancient mural segmentation based on a deep separable convolution network</a>  <font color="#6f6f6f">Nature</font>

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A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis
Naturegeneral

A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1wc3pRTFhmdno2Q1p0WXB5Z1NWcUMwQWN3SlNHU3htMDBCd2ZGdW43a09na1U2WENnMV9ENHJSSVRNRFJwYm9sb0FRckVwYmc2NS1OLVhkVmlZNGxldEww?oc=5" target="_blank">A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis</a>  <font color="#6f6f6f">Nature</font>

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Fatigue life prediction of composite materials using strain distribution images and a deep convolution neural network
Naturetech

Fatigue life prediction of composite materials using strain distribution images and a deep convolution neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80VFhnUXNZR2UtaHdyTTdobFB6TWtzdzVwRTZpUE1IXzhDcE01cjM0WEZXSjEySFZhZUttcmtaWHRTRDU2RlJQSVdkSXBkNjhrc2haVWRuLWhtUzlmZEJF?oc=5" target="_blank">Fatigue life prediction of composite materials using strain distribution images and a deep convolution neural network</a>  <font color="#6f6f6f">Nature</font>

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A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data
Naturegeneral

A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9NRUdsZ3NPbzNBZVlGUEdJOEwzRG9pM0FWUnRyQ0JJMHFRams5WGxzUGVoT2s1N1FDcmpxaldEYnVMd1dYOEJxbDVBb1dXbnpBLUNwTnQ3eS1BWEZ5ZEpJ?oc=5" target="_blank">A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data</a>  <font color="#6f6f6f">Nature</font>

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DCM2Net: an improved face recognition model for panoramic stereoscopic videos
Frontiersgeneral

DCM2Net: an improved face recognition model for panoramic stereoscopic videos

<a href="https://news.google.com/rss/articles/CBMiogFBVV95cUxNMlNEdmdmWGZEaHAwZHhqa0Vac2JSTVhQQ05oYzgxZkxQNmliOVQ2TlNtWjMxUUhER25UOG00Tk11clJCLUE0S0FYaVVidS1yc3F2NFYyNFQxVmN2QzVfa205Sjh0aVNIWVkxeGFqdWU2Snc5bUQ5cFFnMlRMVFRUYWhXcHJrNjdvWVMxM2FvR1pUa1VpTEJzQzc5cTBFalVOZlE?oc=5" target="_blank">DCM2Net: an improved face recognition model for panoramic stereoscopic videos</a>  <font color="#6f6f6f">Frontiers</font>

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High-precision and lightweight small-target detection algorithm for low-cost edge intelligence
Naturegeneral

High-precision and lightweight small-target detection algorithm for low-cost edge intelligence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjYThuQXZYTDFrbDRNZFJ6QU9WZzRIdTMtcmJZNFNEb0cxZThXYkhxRmpZcTRjdHZsNGF0Ymh1MWQwMy1kNkJkV3puSk9jdXhONi04S2NzamZLUEw4cFB3?oc=5" target="_blank">High-precision and lightweight small-target detection algorithm for low-cost edge intelligence</a>  <font color="#6f6f6f">Nature</font>

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Dilated convolution capsule network for apple leaf disease identification
Frontierstech

Dilated convolution capsule network for apple leaf disease identification

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxPdkwweHI3MFpwNmFSVjZkeVRxN0MyUEYtTlVKR2ZvSGJQa3NoZDJwVGd5WXI1b055UlNueEo3NmRqY2dXQ2NWU3ZBNEYzbThyWlhEZDFGaXhRdlNEdFBIVVFaYlRYSzJMRUFId0tRYWhUZnlCQmI0c0l6d01iSVItVnFIVTV2dkFHcDMxR0VESjdldzd1?oc=5" target="_blank">Dilated convolution capsule network for apple leaf disease identification</a>  <font color="#6f6f6f">Frontiers</font>

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"Compressing Deep Convolut" — Live Google News Trends & Headlines