This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

After passing through the transformer encoder blocks, the output token embeddings are used for the final classification. A special token (CLS token) is added at the beginning of the sequence, and its ...

When transformers malfunction or fail, they can put operations at risk of downtime and financial losses. That’s where AI can ...

With impressive overclocked performance, the new MSI GeForce RTX 5060 Ti Gaming Trio 16GB OC GPU is a winner, until you see ...

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

This novel model synergistically combines the strengths of trend-aware attention and the Transformer encoder. It introduces one-dimensional convolution within the trend-aware attention framework, ...

Unlike most video generation models, AvatarFX does not support text inputs for video generation. Instead, the model only ...

Specifically, we propose a predictive optimization network (PONet), leveraging convolutional layers and a Transformer encoder to capture long-term spatial-temporal features and facilitate the learning ...

Pydantic class to represent an image description. subject: str = Field(description="The main subject of the image.") action: Optional[str] = Field(None, description="The action being performed in the ...