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: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...
Store any user state in query parameters; imagine JSON in a browser URL, while keeping types and structure of data, e.g.numbers will be decoded as numbers not strings. With TS validation. Shared state ...
Create a URL encoder/decoder tool to the encoder/decoder Tool Group, following the Base64 Text encoder/decoder tool that already exists. It should follow consistent code structure from Base64 Text ...
ABSTRACT: With the development of globalization and the advancement of technology, the exchanges and communication within multiple cultures become increasingly close and frequent. However, the ...
With AV1 hardware decode on mobile devices stuck in the mid-to-low teens as of 2025, and with VVC at zero, it’s clear that the race to supplant H.264 and HEVC will be contested with software-only ...
ABSTRACT: Pointer instruments are widely used in the nuclear power industry. Addressing the issues of low accuracy and slow detection speed in recognizing pointer meter readings under varying types ...
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, ...
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