Link: https://github.com/frederickszk/LRNet
Description: WEBLRNet is a light-weight and effective Deepfakes detection framework. It analyzes the sequence of geometric features in facial videos to capture the temporal artifacts (such as unnatural expressions) and make predictions. It takes three steps to discriminate a …
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Link: https://www.tdlr.texas.gov/
Description: WEBKeeping you informed on the Texas Electrical Safety and Licensing Act. The TBVME regulates veterinary practice in Texas. TDLR licenses and regulates a broad range of occupations, businesses, facilities, and equipment in 39 industries …
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Link: https://vo.licensing.tdlr.texas.gov/datamart/mainMenu.do
Description: WEBLicensing services for health professionals, code enforcement officers, and substance abuse professionals. Includes renewals, applications, address changes, and more.
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Link: https://github.com/frederickszk/LRNet/blob/main/README.md
Description: WEBLRNet is a light-weight and effective Deepfakes detection framework. It analyzes the sequence of geometric features in facial videos to capture the temporal artifacts (such as …
DA: 77 PA: 22 MOZ Rank: 48
Link: https://arxiv.org/abs/2104.04480
Description: WEBApr 9, 2021 · We propose an efficient and robust framework named LRNet for detecting Deepfakes videos through temporal modeling on precise geometric features. A novel calibration module is devised to enhance the precision of geometric features, making it more discriminative, and a two-stream Recurrent Neural Network (RNN) is constructed for …
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Link: https://paperswithcode.com/method/lr-net
Description: WEBApr 22, 2021 · An LR-Net is a type of non-convolutional neural network that utilises local relation layers instead of convolutions for image feature extraction. Otherwise, the architecture follows the same design as a ResNet.
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Link: https://www.semanticscholar.org/paper/Improving-the-Efficiency-and-Robustness-of-through-Sun-Han/100c45070074d8b596c5534a45db4634afdeeb52
Description: WEBApr 9, 2021 · TLDR. This work proposes an efficient and robust framework named LRNet for detecting Deepfakes videos through temporal modeling on precise geometric features, which is lighter-weighted and easier to train and has shown robustness in detecting highly compressed or noise corrupted videos. Expand. [PDF] Semantic Reader. Save to Library. …
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Link: https://arxiv.org/pdf/2104.04480.pdf
Description: WEBOur proposed Deepfakes detection framework LRNet consists of four components (as shown in Fig. 3): face pre-processing module, calibration module, feature embedding procedure and RNN classifying procedure. It exposes ma-nipulatedfacesbydetectingabnormalfacialmovementpat-terns and time discontinuities. …
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Link: https://paperswithcode.com/method/lrnet
Description: WEBThe Local Relation Network ( LR-Net) is a network built with local relation layers which represent a feature image extractor. This feature extractor adaptively determines aggregation weights based on the compositional relationship of local pixel pairs. Source: Local Relation Networks for Image Recognition. Read Paper See Code. Papers. Tasks.
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Link: https://link.springer.com/article/10.1007/s11760-022-02356-3
Description: WEBSep 20, 2022 · LRNet: lightweight recurrent network for video dehazing. Original Paper. Published: 20 September 2022. Volume 17 , pages 1475–1483, ( 2023 ) Cite this article. Download PDF. Vijay M. Galshetwar, Prashant W. Patil & Sachin Chaudhary. 620 Accesses. 4 Citations. Explore all metrics. Abstract.
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