Artículos de revistas sobre el tema "Neural Mask Estimation"
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Om, Chol Nam, Hyok Kwak, Chong Il Kwak, Song Gum Ho y Hyon Gyong Jang. "Multichannel Speech Enhancement of Target Speaker Based on Wakeup Word Mask Estimation with Deep Neural Network". International Journal of Advanced Networking and Applications 15, n.º 01 (2023): 5754–59. http://dx.doi.org/10.35444/ijana.2023.15101.
Texto completoLee, Hyo-Jun, Jong-Hyeon Baek, Young-Kuk Kim, Jun Heon Lee, Myungjae Lee, Wooju Park, Seung Hwan Lee y Yeong Jun Koh. "BTENet: Back-Fat Thickness Estimation Network for Automated Grading of the Korean Commercial Pig". Electronics 11, n.º 9 (19 de abril de 2022): 1296. http://dx.doi.org/10.3390/electronics11091296.
Texto completoBezsonov, Oleksandr, Oleh Lebediev, Valentyn Lebediev, Yuriy Megel, Dmytro Prochukhan y Oleg Rudenko. "Breed recognition and estimation of live weight of cattle based on methods of machine learning and computer vision". Eastern-European Journal of Enterprise Technologies 6, n.º 9 (114) (29 de diciembre de 2021): 64–74. http://dx.doi.org/10.15587/1729-4061.2021.247648.
Texto completoLee, Chang-bok, Han-sung Lee y Hyun-chong Cho. "Cattle Weight Estimation Using Fully and Weakly Supervised Segmentation from 2D Images". Applied Sciences 13, n.º 5 (23 de febrero de 2023): 2896. http://dx.doi.org/10.3390/app13052896.
Texto completoGuimarães, André, Maria Valério, Beatriz Fidalgo, Raúl Salas-Gonzalez, Carlos Pereira y Mateus Mendes. "Cork Oak Production Estimation Using a Mask R-CNN". Energies 15, n.º 24 (17 de diciembre de 2022): 9593. http://dx.doi.org/10.3390/en15249593.
Texto completoHasannezhad, Mojtaba, Zhiheng Ouyang, Wei-Ping Zhu y Benoit Champagne. "Speech Enhancement With Phase Sensitive Mask Estimation Using a Novel Hybrid Neural Network". IEEE Open Journal of Signal Processing 2 (2021): 136–50. http://dx.doi.org/10.1109/ojsp.2021.3067147.
Texto completoSivapatham, Shoba, Asutosh Kar, Roshan Bodile, Vladimir Mladenovic y Pitikhate Sooraksa. "A deep neural network-correlation phase sensitive mask based estimation to improve speech intelligibility". Applied Acoustics 212 (septiembre de 2023): 109592. http://dx.doi.org/10.1016/j.apacoust.2023.109592.
Texto completoOsorio, Kavir, Andrés Puerto, Cesar Pedraza, David Jamaica y Leonardo Rodríguez. "A Deep Learning Approach for Weed Detection in Lettuce Crops Using Multispectral Images". AgriEngineering 2, n.º 3 (28 de agosto de 2020): 471–88. http://dx.doi.org/10.3390/agriengineering2030032.
Texto completoSong, Junho, Yonggu Lee y Euiseok Hwang. "Time–Frequency Mask Estimation Based on Deep Neural Network for Flexible Load Disaggregation in Buildings". IEEE Transactions on Smart Grid 12, n.º 4 (julio de 2021): 3242–51. http://dx.doi.org/10.1109/tsg.2021.3066547.
Texto completoRizwan, Tahir, Yunze Cai, Muhammad Ahsan, Noman Sohail, Emad Abouel Nasr y Haitham A. Mahmoud. "Neural Network Approach for 2-Dimension Person Pose Estimation With Encoded Mask and Keypoint Detection". IEEE Access 8 (2020): 107760–71. http://dx.doi.org/10.1109/access.2020.3001473.
Texto completoDing, Hongyu, Muhammad Ahsan Latif, Zain Zia, Muhammad Asif Habib, Muhammad Abdul Qayum y Quancai Jiang. "Facial Mask Detection Using Image Processing with Deep Learning". Mathematical Problems in Engineering 2022 (12 de agosto de 2022): 1–10. http://dx.doi.org/10.1155/2022/8220677.
Texto completoGu, Yanlei, Huiyang Zhang y Shunsuke Kamijo. "Multi-Person Pose Estimation using an Orientation and Occlusion Aware Deep Learning Network". Sensors 20, n.º 6 (12 de marzo de 2020): 1593. http://dx.doi.org/10.3390/s20061593.
Texto completoLi, Xinqiang, Xingmian Wang, Yanan Qin y Jing Li. "SNR Classification Based Multi-Estimator IRM Speech Enhancement Algorithm". Journal of Physics: Conference Series 2173, n.º 1 (1 de enero de 2022): 012086. http://dx.doi.org/10.1088/1742-6596/2173/1/012086.
Texto completoZubov, I. G. y N. A. Obukhova. "Method for Automatic Determination of a 3D Trajectory of Vehicles in a Video Image". Journal of the Russian Universities. Radioelectronics 24, n.º 3 (24 de junio de 2021): 49–59. http://dx.doi.org/10.32603/1993-8985-2021-24-3-49-59.
Texto completoNirunsin, Surasi, Praween Shinonawanik, Tawan Thintawornkul y Theeraphong Wongratanaphisan. "Size Estimation of Mango Using Mask-RCNN Object Detection and Stereo Camera for Agricultural Robotics". International Journal of Emerging Technology and Advanced Engineering 12, n.º 10 (1 de octubre de 2022): 161–68. http://dx.doi.org/10.46338/ijetae1022_17.
Texto completoDai, Yaqiao, Renjiao Yi, Chenyang Zhu, Hongjun He y Kai Xu. "Multi-Resolution Monocular Depth Map Fusion by Self-Supervised Gradient-Based Composition". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 1 (26 de junio de 2023): 488–96. http://dx.doi.org/10.1609/aaai.v37i1.25123.
Texto completoKarageorgos, Konstantinos, Anastasios Dimou, Federico Alvarez y Petros Daras. "Implicit and Explicit Regularization for Optical Flow Estimation". Sensors 20, n.º 14 (10 de julio de 2020): 3855. http://dx.doi.org/10.3390/s20143855.
Texto completoZyuzin, Vasily, Mikhail Ronkin, Sergey Porshnev y Alexey Kalmykov. "Automatic Asbestos Control Using Deep Learning Based Computer Vision System". Applied Sciences 11, n.º 22 (9 de noviembre de 2021): 10532. http://dx.doi.org/10.3390/app112210532.
Texto completoPark, Gyuseok y Sangmin Lee. "Environmental Noise Classification Using Convolutional Neural Networks with Input Transform for Hearing Aids". International Journal of Environmental Research and Public Health 17, n.º 7 (27 de marzo de 2020): 2270. http://dx.doi.org/10.3390/ijerph17072270.
Texto completoRen, Guanghao, Yun Wang, Zhenyun Shi, Guigang Zhang, Feng Jin y Jian Wang. "Aero-Engine Remaining Useful Life Estimation Based on CAE-TCN Neural Networks". Applied Sciences 13, n.º 1 (20 de diciembre de 2022): 17. http://dx.doi.org/10.3390/app13010017.
Texto completoSyukron Abu Ishaq Alfarozi y Azkario Rizky Pratama. "CNN-Based Model for Copy Detection Pattern Estimation and Authentication". Jurnal Nasional Teknik Elektro dan Teknologi Informasi 12, n.º 1 (22 de febrero de 2023): 44–49. http://dx.doi.org/10.22146/jnteti.v12i1.6205.
Texto completoLin, Liyu, Chaoran She, Yun Chen, Ziyu Guo y Xiaoyang Zeng. "TB-NET: A Two-Branch Neural Network for Direction of Arrival Estimation under Model Imperfections". Electronics 11, n.º 2 (11 de enero de 2022): 220. http://dx.doi.org/10.3390/electronics11020220.
Texto completoChoi, Ho-Hyoung, Hyun-Soo Kang y Byoung-Ju Yun. "CNN-Based Illumination Estimation with Semantic Information". Applied Sciences 10, n.º 14 (13 de julio de 2020): 4806. http://dx.doi.org/10.3390/app10144806.
Texto completoSelvaraj, Poovarasan y E. Chandra. "Ideal ratio mask estimation using supervised DNN approach for target speech signal enhancement". Journal of Intelligent & Fuzzy Systems 42, n.º 3 (2 de febrero de 2022): 1869–83. http://dx.doi.org/10.3233/jifs-211236.
Texto completoHua, Jiang, Tonglin Hao, Liangcai Zeng y Gui Yu. "An Improved Estimation Algorithm of Space Targets Pose Based on Multi-Modal Feature Fusion". Mathematics 9, n.º 17 (29 de agosto de 2021): 2085. http://dx.doi.org/10.3390/math9172085.
Texto completoQin, Mohan, Li Li y Shoji Makino. "Deep Complex-Valued Neural Network-Based Triple-Path Mask and Steering Vector Estimation for Multichannel Target Speech Separation". Journal of Signal Processing 27, n.º 4 (1 de julio de 2023): 87–91. http://dx.doi.org/10.2299/jsp.27.87.
Texto completoClarke, Garry K. C., Etienne Berthier, Christian G. Schoof y Alexander H. Jarosch. "Neural Networks Applied to Estimating Subglacial Topography and Glacier Volume". Journal of Climate 22, n.º 8 (15 de abril de 2009): 2146–60. http://dx.doi.org/10.1175/2008jcli2572.1.
Texto completoWu, Di y Aiping Xiao. "Deep Learning-Based Algorithm for Recognizing Tennis Balls". Applied Sciences 12, n.º 23 (26 de noviembre de 2022): 12116. http://dx.doi.org/10.3390/app122312116.
Texto completoGundu, Sireesha y Hussain Syed. "Vision-Based HAR in UAV Videos Using Histograms and Deep Learning Techniques". Sensors 23, n.º 5 (25 de febrero de 2023): 2569. http://dx.doi.org/10.3390/s23052569.
Texto completoUlutas, Esra Gungor y Cemil ALTIN. "Kiwi Fruit Detection with Deep Learning Methods". International Journal of Advanced Natural Sciences and Engineering Researches 7, n.º 7 (9 de agosto de 2023): 39–45. http://dx.doi.org/10.59287/ijanser.1333.
Texto completoTengtrairat, Naruephorn, Wai Lok Woo, Phetcharat Parathai, Damrongsak Rinchumphu y Chatchawan Chaichana. "Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models". Sensors 22, n.º 14 (10 de julio de 2022): 5161. http://dx.doi.org/10.3390/s22145161.
Texto completoCosta, Pedro, Asim Smailagic, Jaime Cardoso y Aurélio Campilho. "Epistemic and Heteroscedastic Uncertainty Estimation in Retinal Blood Vessel Segmentation". U.Porto Journal of Engineering 7, n.º 3 (30 de abril de 2021): 93–100. http://dx.doi.org/10.24840/2183-6493_007.003_0008.
Texto completoChernyavskiy, A. N. y I. P. Malakhov. "CNN-based visual analysis to study local boiling characteristics". Journal of Physics: Conference Series 2119, n.º 1 (1 de diciembre de 2021): 012068. http://dx.doi.org/10.1088/1742-6596/2119/1/012068.
Texto completoIslam, Md Mahbubul y Joong-Hwan Baek. "A Hierarchical Approach toward Prediction of Human Biological Age from Masked Facial Image Leveraging Deep Learning Techniques". Applied Sciences 12, n.º 11 (24 de mayo de 2022): 5306. http://dx.doi.org/10.3390/app12115306.
Texto completoXiong, Feng, Chengju Liu y Qijun Chen. "Region Pixel Voting Network (RPVNet) for 6D Pose Estimation from Monocular Image". Applied Sciences 11, n.º 2 (14 de enero de 2021): 743. http://dx.doi.org/10.3390/app11020743.
Texto completoWang, Bodi, Guixiong Liu y Junfang Wu. "Blind Deblurring of Saturated Images Based on Optimization and Deep Learning for Dynamic Visual Inspection on the Assembly Line". Symmetry 11, n.º 5 (16 de mayo de 2019): 678. http://dx.doi.org/10.3390/sym11050678.
Texto completoLi, Yung-Hui, Wenny Ramadha Putri, Muhammad Saqlain Aslam y Ching-Chun Chang. "Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net". Sensors 21, n.º 4 (18 de febrero de 2021): 1434. http://dx.doi.org/10.3390/s21041434.
Texto completoLong, Libo y Jochen Lang. "Regularization for Unsupervised Learning of Optical Flow". Sensors 23, n.º 8 (18 de abril de 2023): 4080. http://dx.doi.org/10.3390/s23084080.
Texto completoBusch, Nils, Andreas Rausch y Thomas Schanze. "Estimation of accuracy loss by training a deep-learning-based cell organelle recognition software using full dataset and a reduced dataset containing only subviral particle distribution information". Current Directions in Biomedical Engineering 7, n.º 2 (1 de octubre de 2021): 183–86. http://dx.doi.org/10.1515/cdbme-2021-2047.
Texto completoHayatbini, Negin, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless Fowlkes y Ramakrishna Nemani. "Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries—PERSIANN-cGAN". Remote Sensing 11, n.º 19 (20 de septiembre de 2019): 2193. http://dx.doi.org/10.3390/rs11192193.
Texto completoWang, Hongfeng, Jianzhong Wang, Kemeng Bai y Yong Sun. "Centered Multi-Task Generative Adversarial Network for Small Object Detection". Sensors 21, n.º 15 (31 de julio de 2021): 5194. http://dx.doi.org/10.3390/s21155194.
Texto completoZheng, Caiwang, Amr Abd-Elrahman, Vance M. Whitaker y Cheryl Dalid. "Deep Learning for Strawberry Canopy Delineation and Biomass Prediction from High-Resolution Images". Plant Phenomics 2022 (12 de octubre de 2022): 1–17. http://dx.doi.org/10.34133/2022/9850486.
Texto completoShi, Furong y Tong Zhang. "A Multi-Task Network with Distance–Mask–Boundary Consistency Constraints for Building Extraction from Aerial Images". Remote Sensing 13, n.º 14 (6 de julio de 2021): 2656. http://dx.doi.org/10.3390/rs13142656.
Texto completoJaved, Nouman, Prasad N. Paradkar y Asim Bhatti. "Flight behaviour monitoring and quantification of aedes aegypti using convolution neural network". PLOS ONE 18, n.º 7 (20 de julio de 2023): e0284819. http://dx.doi.org/10.1371/journal.pone.0284819.
Texto completoBentsen, Thomas, Tobias May, Abigail A. Kressner y Torsten Dau. "The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility". PLOS ONE 13, n.º 5 (15 de mayo de 2018): e0196924. http://dx.doi.org/10.1371/journal.pone.0196924.
Texto completoYu, Tianze, Luke Bidulka, Martin J. McKeown y Z. Jane Wang. "PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation". Sensors 23, n.º 3 (31 de enero de 2023): 1555. http://dx.doi.org/10.3390/s23031555.
Texto completoYeom, Jong-Min, Seonyoung Park, Taebyeong Chae, Jin-Young Kim y Chang Suk Lee. "Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea". Sensors 19, n.º 9 (5 de mayo de 2019): 2082. http://dx.doi.org/10.3390/s19092082.
Texto completoShin, Yoonsoo, Sekojae Heo, Sehee Han, Junhee Kim y Seunguk Na. "An Image-Based Steel Rebar Size Estimation and Counting Method Using a Convolutional Neural Network Combined with Homography". Buildings 11, n.º 10 (9 de octubre de 2021): 463. http://dx.doi.org/10.3390/buildings11100463.
Texto completoTao, Ye y Zhihao Ling. "Deep Features Homography Transformation Fusion Network—A Universal Foreground Segmentation Algorithm for PTZ Cameras and a Comparative Study". Sensors 20, n.º 12 (17 de junio de 2020): 3420. http://dx.doi.org/10.3390/s20123420.
Texto completoLiang, Dongxue, Kyoungju Park y Przemyslaw Krompiec. "Facial Feature Model for a Portrait Video Stylization". Symmetry 10, n.º 10 (28 de septiembre de 2018): 442. http://dx.doi.org/10.3390/sym10100442.
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