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We welcome back the team behind the VAND anomaly-detection challenge, a staple of recent CVPR conferences. VAND brings together cutting-edge research on detecting what doesn’t belong in visual data—spanning anomaly, novelty, and out-of-distribution detection. Building on three successful editions, VAND 4.0 unites supervised, semi-, and unsupervised approaches, including few-, one-, and zero-shot learning, with a strong focus on real-world impact.
Official site: https://sites.google.com/view/vand4-cvpr2026
Info for CVPR attendees: June 4th (1pm-6pm), 2026 in Denver, CO, USA (In Person) + Zoom (Virtual), Half Day
Room: 601, Posters: Exhibit Hall A
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