Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
Researchers at Kanazawa University, in collaboration with Diamond and Carbon Applications (Germany), have developed a ...
Abstract: Mamba and its variants excel at modeling long-range dependencies with linear computational complexity, making them effective for diverse vision tasks. However, Mamba’s reliance on unfolding ...
Abstract: In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitted to map a latent space to a degraded (e.g. noisy) image but in the process learns to reconstruct the clean image.
We are accepting requests for features that will be implemented between v0.9.0 and v.1.0.0. If you have the API you need, please submit your issue here. go-json-fuzz is the repository for fuzzing ...
The official implementation of the paper "V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding". The main contributions of this work are ...
When humans perform working memory tasks, their eye movements disclose a wealth of information about what they are holding in mind. Here, we report a similar behavior in monkeys—small, uninstructed ...
Hyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable ...
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