A computer architecture for artificial image generation is disclosed. According to some aspects, a computing machine receives a voxel model of a first set of objects different from a target object. The target object is to be recognized using an image recognizer. The computing machine generates, ...
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily! python computer-vision deep-learning tensorflow dataset segmentation densenet upsampling semantic-segmentation epoch iou encoder-decoder refinenet semantic-segmentation-models Updated Apr 22, 2021 Pyth...
The NVENCODE API functions, structures and other parameters are exposed in nvEncodeAPI.h, which is included in the SDK. NVENCODE API is a C-API, and uses a design pattern like C++ interfaces, wherein the application creates an instance of the API and retrieves a function pointer table ...
Wirecast supports live video compositing via a “layers” architecture similar to many graphics programs. The encoder facilitates live switching, picture-in-picture composition, titles, audio delay, and many other fine-tuning compositional elements. ...
With the recent tremendous increase in Graphics Processing Unit’s computing capability, using it as a co-processor of the CPU has become fundamental for achieving high overall throughput. Nvidia’s Compute Device Unified Architecture (CUDA) can greatly benefit single instruction multiple thread styled...
They demonstrate much faster training and improved accuracies, with the only cost being extra complexity in the architecture and dataloading. They use factorized 2d positional encodings, token dropping, as well as query-key normalization.You can use it as followsimport torch from vit_pytorch.na_...
AI uses a wide range of technologies and techniques to solve computer system problems like a computer network, data compression, computer architecture, etc. In autoencoder uses ML to do this compression for us (Fig. 2.1). Sign in to download full-size image Figure 2.1. Autoencoders. Auto...
A comprehensive analysis was performed to improve the accuracy of the method in SLS. The semantic segmentation method consists of an encoder-decoder architecture, data augmentation, learning schemes, and post-processing methods. To enhance the SLS, we modified the decoder with the bidirectional ...
This application claims priority under 35 U.S.C. § 119 to U.S. Provisional Patent Application Ser. No. 62/771,808, filed Nov. 27, 2018, and titled, “COMPUTER ARCHITECTURE FOR ARTIFICIAL IMAGE GENERATION USING AUTO-ENCODER,” which is incorporated herein by reference in its entirety. ...
This rate region is achieved by a simple architecture that separa... AB Wagner,S Tavildar,P Viswanath - 《IEEE Transactions on Information Theory》 被引量: 441发表: 2008年 Low bit rate transform coder, decoder, and encoder/decoder for high-quality audio Quantizing noise is lessened in a ...