The PBVS 2025 Multi-modal Aerial View Image Challenge – C invites researchers and practitioners to advance automated target recognition (ATR) by leveraging multi-modal aerial imagery. This competition focuses on the classification of synthetic aperture radar (SAR) data, utilizing both SAR and electro-optical (EO) inputs to explore how multi-modal information can enhance performance in challenging conditions.

Challenge Overview

Participants will develop a classification system to predict the class label of SAR imagery, distinguishing between 10 target classes and detecting out-of-distribution (OOD) targets. Innovative approaches such as domain adaptation, transfer learning, and fusion techniques are encouraged. Submissions will be evaluated on accuracy, novelty, and creativity, with top solutions invited for further recognition.

Key Dates

• 2025.01.19: Release of training data (inputs/outputs) and validation data (inputs only).
• 2025.01.21: Validation server opens.
• 2025.02.21: Final test data release (inputs only).
• 2025.03.02: Deadline for test results, fact sheets, and code submissions.
• 2025.03.04: Preliminary results and paper submission deadline.
• 2025.06.11: PBVS Workshop at CVPR 2025, results, and award ceremony.

Awards and Opportunities

Prizes will be awarded to the top three participants, and winners will be invited to submit their solutions as papers for presentation at the 21st IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS), held in conjunction with CVPR 2025.

Submission Guidelines

Participants are required to submit a description of their methodology alongside their results. Submissions will be reviewed for accuracy, reproducibility, and adherence to guidelines. Code and fact sheets must also be submitted for transparency and evaluation.

Resources

• Scripts for reproducibility and performance evaluation will be provided.
• A forum and direct email support (Justice Wheelwright: mavoc.pbvs@gmail.com) are available for queries.

For additional details, visit the competition page: PBVS 2025 Challenge.

This is an excellent opportunity to contribute to cutting-edge research in multi-modal ATR systems while gaining global recognition. We look forward to your participation.