ICPR Competitions Call for Papers

Call for Competition Entries
28TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
Lyon, France, August 17-22, 2026

The ICPR 2026 Organizing Committee is delighted to announce the selected
competitions for 2026, and invites your submission responses.

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Beyond Visible Spectrum: AI for Agriculture (AGVIS):

offers a unique opportunity for researchers to advance computer vision
techniques in agricultural crop disease monitoring. This challenge
focuses on developing innovative deep learning algorithms using
extensive multi/hyperspectral and satellite remote sensing datasets 
across two main tasks.

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Low-Resolution License Plate Recognition (LRLPR):

focuses on the recognition of low-resolution license plates, which
remains a highly challenging and underexplored problem with strong
forensic and societal relevance. Even state-of-the-art methods
currently struggle to surpass 50-60% recognition accuracy. This
competition encourages the development of advanced approaches,
such as super-resolution, temporal modeling, and robust Optical
Character Recognition (OCR) techniques, capable of operating
effectively despite low-quality input conditions.

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Privacy-Preserving Person Re-Identification from Top-View RGB-Depth Camera (TVRID):

is a competition on top-view person re-identification with aligned
RGB and Depth. The benchmark captures 88 identities with four overhead
Intel RealSense D455 cameras observing each passage twice (IN/OUT)
across four geometric contexts: flat ground, ascent, descent, and
oblique roof view. Submissions are ranked lists evaluated with
CMC@1/5/10 and mAP, and the primary leaderboard metric is
overallMap (mean of per-track overall mAP).

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Robust AI for Rare Events in Video Capsule Endoscopy Vision Competition  (RARE-VCE):

aims to advance video capsule endoscopy (VCE) for non-invasive visualization
of the GI tract by encouraging the development of machine learning models
designed specifically to address the class imbalance challenge inherent in
VCE data. This competition focuses on robust classification of anatomical
regions and rare pathological findings within continuous, noisy VCE video streams.

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VISual Tracking in Adverse Conditions  (VISTAC-2):

builds on the success of VISTAC (ICPR 2024), which focused on nighttime
infrared video tracking. This competition extends the scope to object
tracking under adverse weather conditions. VISTAC-2 introduces the
ExtremeTrack dataset, featuring 199 real-world videos (100 hazy and
99 rainy) with detailed annotations. The challenge aims to benchmark
and promote the development of robust and resilient tracking algorithms
capable of maintaining accuracy and temporal consistency in degraded
environments, supporting progress in surveillance, intelligent
transportation, and autonomous vision systems.

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Registration Deadlines and Result Announcement Dates Vary.
Deadline for all competition entries is Mar 1, 2026.