Abstract: Vector quantization-based image semantic communication systems have successfully boosted transmission efficiency. However, existing models like Vector Quantized Variational Autoencoder 2 ...

Abstract: This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantization to ...

FactorVQVAE-General/ ├── configs/ # Model configuration files ├── data/ # Dataset classes and Chinese stock data ├── module/ # Core model implementations ├── trainer/ # Training modules ├── utils/ # ...

VQ-VLA is an innovative vector quantization based action tokenizer built upon the largest-scale action trajectory dataset to date, leveraging over 100 times more data than previous approaches. It ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Multiplication is working out how many groups of something you have altogether. Division is working how many you get, after sharing a number between another number. You can use place value charts to ...