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Non-local Neural Networks for Video Classification
...The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance.
Batch muxing of Matroska files with GUI. It is based on .NET technology, so you will need Microsoft .NET Framework 4 (Client Profile). It uses mkvmerge (part of mkvtoolnix) .