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10 scene categories (bedroom, etc) and 20 object categories (airplane, etc) Images and labels. ~60 million Images, text Object recognition, scene recognition 2015 [24] [25] [26] Yu et al. LVIS (Large Vocabulary Instance Segmentation) segmentation masks for over 1000 entry-level object categories in images 2.2 million segmentations, 164K images
Model size License Comments Utah teapot: 1975 Martin Newell at University of Utah: Melitta teapot 28 Bézier patches (32 with the bottom) [1] Also called the "Newell teapot". One of the first models not to be measured. Cornell box: 1984 Cindy M. Goral, Kenneth E. Torrance, Donald P. Greenberg, Bennett Battaile at Cornell University
Ericsson Texture Compression (ETC) is a lossy texture compression technique developed in collaboration with Ericsson Research in early 2005. It was originally developed under the name iPACKMAN [ 1 ] and based on an earlier compression scheme called i PACKMAN .
Chasys Draw IES Image John Paul Chacha .cd5 Native format for Chasys Draw IES for storing layered images and animations No CGM: Computer Graphics Metafile .cgm image/cgm CGM files are editable using programs that support the format, such as IBM Lotus Freelance Graphics, Inkscape, etc. CIN: Cineon .cin image/cineon CPC: Cartesian Perceptual ...
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Managed code wrappers for the Dryad API can also be written. There exist several high-level language compilers which use Dryad as a runtime; examples include Scope (Structured Computations Optimized for Parallel Execution) and DryadLINQ. [2] In October 2011, Microsoft discontinued active development on Dryad, shifting focus to the Apache Hadoop ...
The C4 model was created by the software architect Simon Brown between 2006 and 2011 on the roots of Unified Modelling Language (UML) and the 4+1 architectural view model. The launch of an official website under a Creative Commons license [ 3 ] and an article [ 4 ] published in 2018 popularised the emerging technique.
A diagram of the ETC, as pictured in the top right of the page, can be read from left to right and from the bottom, upwards. [3] The model flows in a direction that travels from simple information processing and image formation to increasingly complex thought processes and interactions with the media.