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LAVIS: A Library for Language-Vision Intelligence (2209.09019v1)

Published 15 Sep 2022 in cs.CV, cs.CL, and cs.LG

Abstract: We introduce LAVIS, an open-source deep learning library for LAnguage-VISion research and applications. LAVIS aims to serve as a one-stop comprehensive library that brings recent advancements in the language-vision field accessible for researchers and practitioners, as well as fertilizing future research and development. It features a unified interface to easily access state-of-the-art image-language, video-LLMs and common datasets. LAVIS supports training, evaluation and benchmarking on a rich variety of tasks, including multimodal classification, retrieval, captioning, visual question answering, dialogue and pre-training. In the meantime, the library is also highly extensible and configurable, facilitating future development and customization. In this technical report, we describe design principles, key components and functionalities of the library, and also present benchmarking results across common language-vision tasks. The library is available at: https://github.com/salesforce/LAVIS.

Citations (50)

Summary

  • The paper outlines strict rebuttal requirements, enforcing a one-page limit to ensure concise responses during the review process.
  • It emphasizes maintaining anonymity and precise formatting, mirroring the original submission style with standardized typography and layout.
  • The guidelines aim to enhance the efficiency and fairness of peer reviews by promoting clear, focused communication between authors and reviewers.

Guidelines for Preparing a LaTeX Author Response

The paper, "LaTeX Guidelines for Author Response," provides comprehensive instructions aimed at authors seeking to respond to reviewer comments during the peer review process. This structured approach is particularly relevant within the context of computer vision conferences, such as CVPR, where author rebuttals are a crucial component in addressing and clarifying reviewers’ feedback.

Key Highlights

The document emphasizes the formal requirements and constraints associated with drafting a rebuttal. A notable aspect is the stringent limitation to a one-page PDF format. This constraint is instrumental in ensuring that responses remain concise and focused on pertinent issues. The guidelines underscore the following essential points:

  1. Objective of the Rebuttal: The rebuttal should focus on clarifying factual inaccuracies or providing additional information as requested by reviewers, rather than introducing new contributions or experimental results.
  2. Anonymity and Formatting: Maintaining anonymity is critical, as is adherence to specified formatting rules. The rebuttal must mimic the original submission in its style and layout, ensuring it fits within the designated margins and typographical settings.
  3. Content Inclusion: Authors can incorporate figures, tables, or illustrations to support their explanations but should avoid adding extensive new data unless explicitly requested.

Technical Specifications

Several technical specifications are detailed to guide authors in the formulation of their responses. These include:

  • Document Layout: A two-column format is mandated, with specific dimensions for text areas and columns to ensure uniformity and readability.
  • Typography: Specific font sizes are detailed for different text elements, reinforcing consistency with academic publishing standards.
  • Reference and Equation Management: Authors are advised to number equations and references to facilitate ease of navigation and avoid confusion.

Implications and Future Directions

The rigorous framework presented for author responses has several implications for the broader academic community. By standardizing the format and limiting the scope of rebuttals, the guidelines facilitate a more efficient review process, potentially leading to fairer assessments and fewer miscommunications between authors and reviewers.

Looking forward, these practices could influence the refinement of peer review methodologies across other scientific disciplines. As AI and machine learning continue to evolve, ensuring clear communication through standardized rebuttals may become increasingly important, particularly as interdisciplinary research grows.

Moreover, the discussions around what constitutes permissible additional information in a rebuttal could inform future debates on peer review ethics and practices. Ensuring that rebuttals remain an effective tool for addressing critical reviews without being used to obscure less rigorous work is a balance that will likely require ongoing adaptation.

In conclusion, the guidelines encapsulated in this document represent a detailed endeavor to improve the quality and efficiency of author-reviewer interactions, with potential benefits extending beyond the confines of a single conference or field.

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