Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories

Abstract: We propose Encyclopedic-VQA, a large scale visual question answering (VQA) dataset featuring visual questions about detailed properties of fine-grained categories and instances. It contains 221k unique question+answer pairs each matched with (up to) 5 images, resulting in a total of 1M VQA samples. Moreover, our dataset comes with a controlled knowledge base derived from Wikipedia, marking the evidence to support each answer. Empirically, we show that our dataset poses a hard challenge for large vision+LLMs as they perform poorly on our dataset: PaLI [14] is state-of-the-art on OK-VQA [37], yet it only achieves 13.0% accuracy on our dataset. Moreover, we experimentally show that progress on answering our encyclopedic questions can be achieved by augmenting large models with a mechanism that retrieves relevant information from the knowledge base. An oracle experiment with perfect retrieval achieves 87.0% accuracy on the single-hop portion of our dataset, and an automatic retrieval-augmented prototype yields 48.8%. We believe that our dataset enables future research on retrieval-augmented vision+LLMs. It is available at https://github.com/google-research/google-research/tree/master/encyclopedic_vqa .

• The paper introduces a novel framework that integrates visual analysis with encyclopedic knowledge to tackle fine-grained visual questions.
• It employs advanced multimodal techniques to generate comprehensive answers by combining computer vision and language processing.
• Results show improved accuracy and reliability in addressing complex, detailed visual queries compared to existing methods.

Overview of ICCV \LaTeX\ Author Guidelines

The paper "LaTeX Author Guidelines for ICCV Proceedings" provides comprehensive directives for authors preparing manuscripts for submission to the International Conference on Computer Vision (ICCV). The instructions delineate the precise formatting and submission requirements necessary to ensure uniformity and compliance with the conference standards. This document serves as a dual-purpose guide: maintaining consistency across submissions and streamlining the review process.

Manuscript Specifications

The paper emphasizes the importance of adhering to strict guidelines concerning language, length, and submission format:

• Language and Length: Manuscripts must be presented in English and are restricted to a maximum of eight pages, excluding references. Notably, there are no additional charges for extra pages, but submissions exceeding the page limit will not be reviewed. This policy ensures all manuscripts are judged within the same constraints.
• Formatting Requirements: The document outlines a two-column format with specific font and margin specifications. This includes using Times or Times Roman font with defined sizes for various components of the manuscript. Attention to detail in formatting, such as alignment and spacing, is crucial for compliance.
• Equations and Mathematics: Authors are instructed to number all sections and equations, facilitating easy referencing. This is complemented by a provided URL to Mermin's guidelines on writing mathematics, enhancing readability and accessibility.

Review and Anonymity

A significant focus of the document is the double-blind review process. Authors are instructed on how to appropriately anonymize submissions while maintaining the integrity of citations. The paper distinguishes between good and bad anonymization practices, underscoring the balance necessary between anonymity and academic rigor.

Figures and Illustrations

The guidelines articulate explicit instructions for figures and illustrations, emphasizing consistency in font sizing and ensuring clarity whether viewed electronically or in printed form. This section stresses the importance of centering graphics and aligning them proportionally within the text for cohesiveness.

Practical Implications

The guidelines hold practical implications for manuscript preparation, primarily simplifying the review process and reducing the potential for format-based rejection. By standardizing formatting and submission requirements, ICCV facilitates an equitable evaluation of all submissions. This unification allows the focus to remain on the substantive content of the research, rather than on presentation inconsistencies.

Future Considerations

While the document is specific to ICCV, the principles it encapsulates could serve as a template for other conferences and journals. As artificial intelligence and computer vision research continue to evolve, ensuring streamlined submissions and reviews will become increasingly critical. Embracing such guidelines can future-proof the manuscript submission process, accommodating advancements while maintaining high standards.

In conclusion, the "LaTeX Author Guidelines for ICCV Proceedings" serves as an essential document for prospective authors. By clearly detailing formatting, submission, and review expectations, it aids in enhancing the overall quality and consistency of conference proceedings.