Original editorial coverage of computer vision, AI perception, and machine recognition — the research and ideas behind what "I See You" actually means for a machine.
Researchers investigate the connection between counterfactual fairness and group fairness in image classification, revealing a surprising disconnect
Discover how fine-tuned latent diffusion models can generate culturally consistent yet novel Ulos motifs, preserving tradition while meeting contemporary design demands
A new diagnostic tool reveals whether learned shortcuts can be restored after unlearning, shedding light on the effectiveness of shortcut-mitigation methods
Discover how ordinary vision datasets can contain exploitable adversarial surfaces, threatening model security and reliability