China

Researchers From China Propose A Pale-Shaped Self-Attention (PS-Attention) And A General...

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Transformers have recently demonstrated promising performance in a variety of visual tests. Inspired by Transformer's success on a wide range of NLP tasks, Vision...

Researchers Propose A Novel Parameter Differentiation-Based Method That Can Automatically Determine...

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In recent years, neural machine translation (NMT) has attracted a lot of attention and has had a lot of success. While traditional NMT is...

Researchers Introduce A New Hand Gesture Recognition Algorithm Combining Hand-Type Adaptive...

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Almost all of our computer interaction occurs via mouse, keyboards, and touch screens. An essential step in making human-computer interactions more efficient would be...

Researchers Develop ‘Garment4D’: A Garment Reconstruction Model Using Point Cloud Sequences

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Virtual try-on, virtual reality/augmented reality, and visual effects all use garment reconstruction. With the use of implicit representation or volumetric representation, extensive efforts have...

Researchers Compare Deep Learning (DL) Algorithms For Diagnosing Bacterial Keratitis via...

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Viral keratitis, bacterial keratitis, fungal keratitis, and parasitic keratitis are all types of infectious keratitis. Bacterial Keratitis (BK) is a kind of Infectious Keratitis...

Huawei Research Introduces ‘VMAgent’: A Platform for Exploiting Reinforcement Learning (RL)...

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In games and robotics simulators, reinforcement learning has demonstrated competitive performance. Solving mathematical optimization issues with RL approaches has recently attracted a lot of...

Baidu AI Research Team Introduces ‘PP-ShiTu’: A Practical Lightweight Image Recognition...

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The need for image recognition is more evident than ever. It's not just the obvious things like Facebook tagging your photos, but it can...

Arch-Net: A Family Of Neural Networks Built With Operators To Bridge...

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The computation power of Deep Neural Networks is a major challenge to their real-world applications. New developments in the field are outpacing the recent...

USTC Researchers Introduce A Recursively Embedded Atom Neural Network (REANN) Model...

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Machine Learning has been extensively used in developing accurate interatomic potentials based on initial data of the given chemical system. Atomic Neural Networks(ANN) have...

Researchers Open-Source ‘TorchDrug’: A PyTorch-Based Machine Learning Platform Designed For Drug...

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From drug findings to clinical trials, drug discovery is a long and costly process, taking on average 10 years and $2.5 billion to develop...
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