You only look once (YOLO)YOLOv7-tinyYOLOXYolov5YOLO-RYOLOYOLOv8YOLOv5YouTubeYou only look once v3 (YOLOv3)yolo
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ZERNIKE MOMENTSZebra EmbryoZernike polynomialZero-Shot ClassificationZ-type SchlierenZoom FatigueZero Parallax SettingZEISSZERNIKEZ number
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0.8um pixel
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1 MICRON PIXELS133-MEGAPIXEL1st and 2nd FM generation 3D halftoning100 Hue test108 Megapixel1/f noise180 degree images1-bit matrix completion
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2D to Hologram conversion2D metrics2-d scale2D and 3D video2D-plus-depth video2.5D reconstruction2D VIEWS2D DCT2D2.5D2AFC2-D barcodes2D-TO-3D CONVERSION ARTIFACTS2D printing2.5 D printing2D/3D imaging, high performance computing, imaging systems, efficient computations and storage2.5D PRINTING2.5D printing2D AND 3D CONVERTIBLE DISPLAY
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3D Telepresence3D Data Processing3D DIGITIZATION METHOD FOR OIL PAINTINGS3D-shooting3D position measurement of people3D theater program listing3D Measurement3D refinement3D display3D-color perception3D mesh3D shape indexing and retrieval3D stereo vision3D perception360 panorama360 degrees video360-degree art exhibition3D CAMERAS360-degree image projection3D-LUT3D video3D/4D Scanning3D MODEL3D face alignment3D PRINTING360-degree images3D Object Detection3D Morphable Model3D depth-map360-degree video streaming360-video360VR3D/4D Data Processing and Filtering3D mapping and localization3D warping3D objects3D scene classification3D video processing3D optical scans3D data processing3D surface3D Saliency3D Modeling3D STACK3D surface reproduction3D Range Data360-degree Image3D model3D Imaging3D compression3D TRANSFORMATION3D-HEVC3D adaptive halftoning3D Data Sources3D Halftoning3D camera3D Digital Image Correlation3D image compression3D Tracking3D EDUCATIONAL MATERIAL3D Video Communications3D/4D DATA PROCESSING AND FILTERING3D Shape Indexing and Retrieval3D connected tube model3D scene flow estimation360-degree videos3D Point Cloud3D affine transformation3D recovery3D Printing3D capture3D scanning3D Mapping3D modelling360 degree images3D Range Data Compression3D shape3D PRINTER3D Communications360-degree content3D printing3D depth sensing3D range scanning360° video3ARRI footage3D Curvelet360 IMAGING3D HALFTONING3D Immersion3D Vision3D digital halftoning3D RECONSTRUCTION3D rigid transformations3D modeling3D/2D Visuals3D-assisted features3D localization3D/4D SCANNING3D projector35MM FILM DIGITIZATION3D mesh simplification3D point cloud3D human-centered technologies3D Scene Reconstruction and Modeling3D-Anisotropic smoothing3DCNN3D RECOVERY3D printer360° VIDEO3D INTERACTION3D imaging3D audio3D ACQUISITION ARCHITECTURE3D range geometry3D digitization and dissemination3D localization and mapping3D Print Appearance3D colour Digital Image Correlation360-Degree Video Technology3D PROFILE3D cinema and TV3D TV3D USER INTERFACES3D DISPLAY3D-high efficiency video coding3D visual representation360 Video3A ALGORITHMS3-D SHAPE RECOVERY360x3D scene capture3d mapping3D surface structure based halftoning3D COMPRESSION AND ENCRYPTION3D glasses3D vision3D encoding3D3D IMAGE3d video3D STIMULI3D-printing3d3D Range Data Encoding360-degree imaging3D Color Printing3D Reconstruction3D displays3D communications360-degree video3DSR3D Gaussian splatting360-degree3D Display3D MESHES3D reconstruction3DMM3D VISUALIZATION3D Compression and Encryption3D-CNN3D Scene Reconstruction3D Lidar3D Iterative Halftoning360° STEREO PANORAMAS3D MESH3D SHAPE INDEXING AND RETRIEVAL3D SCENE RECONSTRUCTION AND MODELING3D and 2D3D print3D halftoning3D recursive search3D-human body detection3D Video3-T pixel3D Meshes3D SALIENCY3D Computer Graphics3D Compression3D object shape3D Models3d localization3-D RECONSTRUCTION3D MODELLING3D Image Processing3D RANGE IMAGING3D Quality3D Video Conferencing3D shape analysis360-deg quality assessment360-DEGREE IMAGE
A convolutional neural network is trained in auto/hetero-associative mode for reconstructing RGB components from a randomly mosaicked color image. The trained network was shown to perform equally well when images are sampled periodically or with a different random mosaic. Therefore, this model is able to generalize on every type of color filter array. We attribute this property of universal demosaicking to the network learning the statistical structure of color images independently of the mosaic pattern arrangement.