Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many ...

Abstract: Writing radiology reports based on radiographic images is a time-consuming task that demands the expertise of skilled radiologists. Consequently, the integration of technology capable of ...

A vast majority of multi-modal AI systems function as a relay race. For example, an image will come in through the Vision Encoder, be transformed into a language the Language Model understands and ...

We propose DPCrossU-Net, a dual-branch parallel encoder that integrates multi-scale convolutional and Transformer-based representations. Parallel CNN and ViT branches are employed to capture ...

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Source code for "Progressive Transformers for End-to-End Sign Language Production" (Ben Saunders, Necati Cihan Camgoz, Richard Bowden - ECCV 2020) To run, start main.py with arguments "train" and ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

CALYREX: Cross-Attention LaYeR EXtended Transformers for System Prompt Anchoring Li Lixing Trust Me, Import This: Dependency Steering Attacks via Malicious Agent Skills Yiyong Liu , Chia-Yi Hsu , Chun ...

Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...