The NTIRE 2026 challenge reports strong performance from 17 teams on raindrop removal for dual-focused day and night images using an adjusted real-world dataset with 14,139 training images.
NTIRE 2026 Challenge on Video Saliency Predic- tion: Methods and Results
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The NTIRE 2026 RipDetSeg Challenge evaluated AI methods for rip current detection and segmentation, finding that pretrained general-purpose models with augmentation and post-processing performed well on a diverse multi-country dataset.
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NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
The NTIRE 2026 challenge reports strong performance from 17 teams on raindrop removal for dual-focused day and night images using an adjusted real-world dataset with 14,139 training images.
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NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report
The NTIRE 2026 RipDetSeg Challenge evaluated AI methods for rip current detection and segmentation, finding that pretrained general-purpose models with augmentation and post-processing performed well on a diverse multi-country dataset.