Good Papers

Showing papers from Czech Technical Univeresity in Prague, Czech Technical University of Prague Show all papers

88%Must read
?Must readVote to see the score
NeurIPS 2026SpotlightCzech Technical University of PrCzech Technical Univeresity in PCzech Technical Univeresity in PCzech TechicalDatasets & benchmarks

Doomed to Re-Annotate, Forever: The ImageNet Story

ReImageNet reveals ~12% of ImageNet-1k labels are wrong and reannotation boosts top-1 accuracy up to 1.2% for supervised models and 5, 6% for MLLMs.

Illia Volkov, Nikita Kisel, Tetiana Mishkina, Klara Janouskova and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026 · ▲ 3 on Hugging Face

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 3/5
80%Must read
?Must readVote to see the score
NeurIPS 2026Comenius University in BratislavCzech Technical Univeresity in PSoutheastCIIRC, Czech Technical UniversitCzech Technical University in Pr3D vision & reconstruction

Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth

Depth2Pose evaluates monocular depth estimators via downstream pose estimation accuracy using only camera poses, introducing a challenging out-of-distribution benchmark where standard metrics fail to predict generalization.

Viktor Kocur, Sithu Aung, Gabrielle Flood, Yaqing Ding and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5