SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization (2009.00726v2)

Abstract: We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and localization of multiple types of image manipulations. The proposed architecture efficiently and effectively models the relationship between image patches at multiple scales by constructing a pyramid of local self-attention blocks. The design includes a novel position projection to encode the spatial positions of the patches. SPAN is trained on a generic, synthetic dataset but can also be fine tuned for specific datasets; The proposed method shows significant gains in performance on standard datasets over previous state-of-the-art methods.

• ECCV Author Submission Guidelines provide comprehensive instructions for submitting papers, covering formatting, page limits, and adherence to Springer LNCS standards.
• The guidelines detail ECCV’s double-blind review process, emphasizing meticulous anonymization, prohibition of dual submissions, and strict confidentiality.
• Manuscript preparation requires using LaTeX with specific formatting rules, leading to camera-ready submission and optional supplementary materials upon acceptance.

An Overview of "Author Guidelines for ECCV Submission"

The document titled "Author Guidelines for ECCV Submission" provides comprehensive instructions for authors intending to submit papers to the European Conference on Computer Vision (ECCV). The guidelines underscore critical aspects of submission, focusing on formatting, page length, review processes, and anonymity. This essay summarizes the document's primary components, illuminating crucial factors for researchers aiming to align their submissions with ECCV standards.

Submission and Formatting Guidelines

The document delineates essential requirements for initial submissions, specifying that all manuscripts must be in English and adhere strictly to formatting guidelines set by Springer’s Lecture Notes in Computer Science (LNCS). The text mandates that papers should not exceed 14 pages, exclusive of references, and prescribes standard font usage and layout parameters to ensure uniformity across submissions. The emphasis on formatting is intended to streamline the reviewing process and uphold the integrity of published proceedings.

Review and Confidentiality Protocols

ECCV employs a double-blind review process to maintain the anonymity of both authors and reviewers. Authors are instructed to anonymize their papers meticulously, avoiding any self-referential language or identifiers that could compromise their anonymity. The review process is managed through the Toronto system to optimally match papers with reviewers, with stringent policies regarding confidentiality adhered to throughout the process.

An important facet of the guidelines is the prohibition of dual submissions, ensuring that each paper is an original contribution not simultaneously under review elsewhere. Violations of these policies result in immediate rejection, underscoring ECCV’s commitment to intellectual property and academic integrity.

Manuscript Preparation and Camera-Ready Submission

In preparing their manuscripts, authors are encouraged to utilize LaTeX with the corresponding Springer class file, ensuring consistency in typesetting and layout. Detailed instructions on figure placement, formula formatting, footnotes, and references are included to aid authors in creating a cohesive final document. Upon acceptance, authors must convert their initial submissions into camera-ready versions, adhering to directives concerning citation practices, acknowledgment inclusion, and compliance with Springer’s author guidelines.

Furthermore, authors are required to submit supplementary materials in standardized formats, such as PDF or ZIP files. These materials, while optional, enhance the utility of the paper for readers and must be appropriately referenced within the main text.

Theoretical and Practical Implications

By setting a robust framework, ECCV’s guidelines not only facilitate the smooth conduct of its review process but also contribute to the field’s body of knowledge by ensuring consistency and rigor in submissions. These protocols reflect broader trends in academic publishing, emphasizing transparency, accountability, and adherence to ethical standards.

As artificial intelligence continues to advance, the guidelines ensure that contributions to ECCV are of high quality and are vetted thoroughly, fostering an environment of innovation and collaboration. Researchers are urged to engage deeply with these protocols to produce work that is both technically sound and capable of pushing the boundaries of computer vision research.

These guidelines serve as a foundational pillar that supports the dissemination and advancement of knowledge within the ECCV community, setting a standard that is critical for ongoing research developments. Future enhancements to these guidelines may focus on incorporating emerging ethical considerations in AI research and expanding accessibility resources to accommodate diverse author needs.