This repository is the official PyTorch implementation of "Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention" (arxiv,pretrained models). Recently, Vision Transformer has ...

Google added a very useful feature to the Google Search Console Insights report named query groups. It does what it is named, it groups similar queries together as one, so you can see how your site is ...

Abstract: Distributed learning is commonly used for training deep learning models, especially large models. In distributed learning, manual parallelism (MP) methods demand considerable human effort ...

What is Query Deserves Freshness? Query deserves freshness (QDF) is a part of Google’s algorithm that prioritizes newer content in search results when a searched topic is trending, rapidly evolving, ...

A parallel is emerging in negotiations between Hakan Calhanoglu and Bayern Munich with the Romelu Lukaku saga at Inter Milan last summer. This is the view in today’s print edition of Milan-based ...

Note that parallel queries may consume very substantially more resources than non-parallel queries, because each worker process is a completely separate process which has roughly the same impact on ...

Determining the degree of parallelism (DOP) for query execution is of great importance to both performance and resource provisioning. However, recent work that applies machine learning (ML) to query ...