set up the projectile explosion image segmentation network model using the improved PSPNet and Swin Transformer fusion, and establish the judgment criterion of the starting pixel position of the ...
A power transformer for Inch Cape Offshore Wind Farm which could power half the houses in Scotland has been moved into place. Roads were closed in East Lothian as the super grid transformer was ...
While autoregressive transformers, masked transformers, and diffusion models with transformers, have shown significant success in generating high-quality synthetic data with strong fidelity, utility, ...
In this paper, we introduce TAME, a novel model that integrates a Non-Autoregressive Transformer with Attention Mechanism and Mixture of Experts to address these limitations. TAME features a temporal ...
It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM ...
Implementation of Recurrent Memory Transformer (openreview) in Pytorch. They had a short follow up paper recently that demonstrated it was able to copy information across 1 million tokens at the very ...