Optimizing Document Comprehension with DocOwl2: A New High-Resolution Compression Architecture
Understanding multi-page documents and news videos is a common task in people’s daily lives. To address these scenarios, large multimodal ...
Tag: highresolution
InternVL 1.5 Advances Multimodal AI with Bilingual and High-Resolution Capabilities in Open Source Models
Multimodal large language models (MLLM) integrate visual and text data processing to improve the way artificial intelligence understands and interacts ...
LMU Munich's Zigzag Mamba: Revolutionizing the generation of high-resolution visual content with efficient diffusion modeling
In the changing landscape of computational models for visual data processing, the search for models that balance efficiency with the ...
New algorithm unlocks high-resolution insights for computer vision | MIT News
Imagine looking at a busy street for a few moments and then trying to draw from memory the scene you ...
This AI article presents mixed-precision training for Fourier neural operators: uniting efficiency and accuracy in high-resolution PDE solutions
Neural operators, specifically Fourier neural operators (FNO), have revolutionized the way researchers approach solving partial differential equations (PDEs), a fundamental ...
This paper presents PtychoPINN: a physics-based unsupervised deep learning method for fast coherent diffraction reconstruction with high-resolution scanning.
Coherent diffractive imaging (CDI) is a promising technique that takes advantage of the diffraction of a light beam or an ...
Detecting defects in high-resolution images using two-stage Amazon Rekognition custom tag models
High-resolution images are very common in today's world, from satellite images to drones and DLSR cameras. From these images, we ...
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