Encoder-Decoder An implementation of Encoder-Decoder architecture for sequence-to-sequence tasks such as machine translation, text summarization, and conversational modeling. This repository ...

Abstract: Recently, remote sensing image captioning (RSIC) has drawn an increasing attention. In this field, the encoder-decoder-based methods have become the mainstream due to their excellent ...

Abstract: Precise segmentation is vital for successful diagnosis and treatment planning. Medical image segmentation has demonstrated remarkable advances with the introduction of deep convolutional ...

Breast ultrasound interpretation requires simultaneous lesion segmentation and tissue classification, yet conventional multi-task learning approaches suffer from task interference and rigid ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Interfaze, a young YC’s startup, has open-sourced a new speech recognition model. It is called diffusion-gemma-asr-small. The model transcribes audio through a diffusion decoder, not an autoregressive ...

Katha Room hosts more than 250 stories across five languages and has notched over 10,000 downloads on iOS and Android combined, while being bootstrapped. Katha Room addresses the decline of ...

Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

These local LLMs are changing the game in lots of fun ways.