Abstract: This article presents a new deep-learning architecture based on an encoder-decoder framework that retains contrast while performing background subtraction (BS) on thermal videos. The ...

Abstract: U-shaped encoder-decoder convolutional neural networks have shown significant success in medical image segmentation. However, these networks often face challenges, including detail loss in ...

This base64 encoder/decoder is faster than the stdlib base64 package. Encoding is 70% faster on ARM64 (Mac book M2) and 36% on AMD64 (i5 11th Gen). Decoding MIME encoded base64, which is base64 with a ...

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs. NVIDIA ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

IRVINE, Calif.—Teradek will launch its new Prism 877 4K HEVC encoder/decoder cards at the IBC 2024, Sept. 13-16, at the RAI Amsterdam Convention Center. The cards allow users to switch between ...

My question is about executing encoder-decoder models with onnx genai runtime. My goal is to convert the DONUT transformer https://arxiv.org/abs/2111.15664, a ...