Specifically, the model consists of two key components: encoder and decoder, both composed of ST-block. Initially, we utilize dynamic graph convolution (DGC) and gated recurrent unit (GRU) to ...

However, the new transformer attention-based approach to MOT has removed the need for complex post-processing steps, such as graph optimization ... This approach allows the encoder-decoder to track ...

An attractive proposition for commercial enterprises and indie developers looking to build speech recognition and ...

If you'll be encoding with SVT-AV1 or VVC, in this article you'll learn a bit about how to optimize your encodes, particularly the trade-offs that pre­sets deliver, and how many logical processors to ...

A new paper introduces GFSE (Graph Foundational Structural Encoder), tackling this challenge by focusing on universal structural attributes - the underlying topological patterns shared across ...

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Made for Colyseus, yet can be used standalone.