🎯 TL;DR: State-of-the-art paired encoder and decoder models (17M-1B params) trained identically for fair comparison with open data. Encoders beat ModernBERT. Decoders beat Llama 3.2/SmolLM2. These ...
Since its breakthrough in 2017 with the “Attention Is All You Need” paper, the Transformer model has redefined natural language processing. At its core lie two specialized components: the encoder and ...
The encoder–decoder architecture sits quietly behind many of the most impactful AI systems we use today—machine translation, speech recognition, text summarization, and modern large language models.
A deep learning-based Machine Translation system that translates text from one language to another using an Encoder-Decoder architecture with attention mechanism. Built using TensorFlow, Keras, and ...
Colorectal cancer (CRC) is a form of cancer that impacts the large intestine, constituting one of the most severe and most common forms of cancer. 5-year survival rates depend on a variety of ...
Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
Automatic segmentation of anatomical structures (such as organs) and lesion regions in medical images has become a critical task in medical image analysis and is widely used in clinical diagnosis and ...
Abstract: Open-vocabulary semantic segmentation aims to partition an image into distinct semantic regions based on an open set of categories. Existing approaches primarily rely on image-level ...
In this paper, we introduce the world’s first 8K 120-Hz video real-time encoder and decoder that complies with ARIB STD-B32 1) . We evaluated the coding efficiency and demonstrated that 8K 120-Hz ...
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