Temporally-Adaptive Models for Efficient Video Understanding (2308.05787v1)

Abstract: Spatial convolutions are extensively used in numerous deep video models. It fundamentally assumes spatio-temporal invariance, i.e., using shared weights for every location in different frames. This work presents Temporally-Adaptive Convolutions (TAdaConv) for video understanding, which shows that adaptive weight calibration along the temporal dimension is an efficient way to facilitate modeling complex temporal dynamics in videos. Specifically, TAdaConv empowers spatial convolutions with temporal modeling abilities by calibrating the convolution weights for each frame according to its local and global temporal context. Compared to existing operations for temporal modeling, TAdaConv is more efficient as it operates over the convolution kernels instead of the features, whose dimension is an order of magnitude smaller than the spatial resolutions. Further, kernel calibration brings an increased model capacity. Based on this readily plug-in operation TAdaConv as well as its extension, i.e., TAdaConvV2, we construct TAdaBlocks to empower ConvNeXt and Vision Transformer to have strong temporal modeling capabilities. Empirical results show TAdaConvNeXtV2 and TAdaFormer perform competitively against state-of-the-art convolutional and Transformer-based models in various video understanding benchmarks. Our codes and models are released at: https://github.com/alibaba-mmai-research/TAdaConv.

Analysis of the "Bare Advanced Demo of IEEEtran.cls for IEEE Computer Society Journals"

The document provided is primarily a demonstrative piece for utilizing the IEEEtran.cls LaTeX class, version 1.8b and later, aimed at authors preparing their submissions to IEEE Computer Society journals. Rather than presenting new research findings, the purpose of this paper is to serve as a foundational guide to assist researchers in formatting their manuscripts according to IEEE standards.

Structure and Content

The paper outlines essential sections that are characteristic of academic papers, formatted in compliance with IEEE journal submission guidelines. These sections include:

• Title and Author Information: The template begins with the appropriate structure for including authorship details, such as affiliations and membership status within professional organizations like IEEE and OSA.
• Abstract and Keywords: Although the abstract content itself is placeholder text, it represents an essential component where authors summarize the research’s objectives, methodology, results, and conclusions.
• Introduction: This section provides the groundwork for situating the research problem, though in this document, it merely serves as a template.
• Body of the Document: The template suggests typical sections such as ‘Introduction,’ ‘Subsection,’ and ‘Subsubsection,’ which are standard in academic writing, allowing for an organized presentation of research.
• Conclusion: A conclusion section is included where the authors are typically expected to encapsulate their findings and implications, which in this document remains illustrative text.
• Appendices and References: Additional material and citations are promoted as appendices and a reference list, encouraging thorough documentation of related work and supplementary details.
• Biographies: In alignment with IEEE's practices, author biographies are positioned at the end of the document to provide context and credibility to the research authors.

Practical and Theoretical Implications

From a practical standpoint, this template provides essential scaffolding for researchers, ensuring consistency and adherence to formatting standards which streamline peer review and publication processes. Theoretically, it reflects the IEEE's commitment to maintaining academic rigor and providing a unified framework beneficial for scholarly communication.

Future Considerations

While the document itself does not delve into research innovations, its utility in guiding structured, uniform manuscript submissions sets a stage for smoother knowledge dissemination in future publications. As academic writing evolves, similar templates must adapt to incorporate new technological formats, which better support multimedia and data-driven research outputs.

In conclusion, while lacking innovative research content, the document effectively serves its purpose as a standardized template for IEEE journal submissions, highlighting the practical aspects of academic publishing. Future iterations of such templates may potentially incorporate more dynamic features, accommodating the evolving landscape of research dissemination.