Doomed to Re-Annotate, Forever: The ImageNet Story
🔮 Coming next: 🧠 EP head checkpoints — load & probe, no training 🎨 attention-map viz of EP's queries 🆕 ReImageNet re-eval — ~12% of IN-1k val labels are wrong! (arxiv.org/abs/2608.13783, @klara-cz.bsky.social) 🛰️ remote sensing foundation models Stay tuned 🚀 Top-1 accuracy on ImageNet-1k remains the most commonly reported metric in visual recognition. Quality issues with the dataset have bee