Trust3R introduces a gated residual refinement plus Normal-Inverse-Wishart evidential head that produces closed-form multivariate Student-t uncertainty for per-point geometry in feed-forward 3D reconstruction and improves uncertainty ranking metrics on indoor and outdoor benchmarks.
Are foundation models for computer vision good conformal predictors?
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A non-linear transformation of cosine similarities in localized conformal prediction for VLMs yields statistically significant reductions in mean set sizes while conserving marginal coverage guarantees.
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Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R
Trust3R introduces a gated residual refinement plus Normal-Inverse-Wishart evidential head that produces closed-form multivariate Student-t uncertainty for per-point geometry in feed-forward 3D reconstruction and improves uncertainty ranking metrics on indoor and outdoor benchmarks.
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Localized Conformal Prediction for Image Classification with Vision-Language Models
A non-linear transformation of cosine similarities in localized conformal prediction for VLMs yields statistically significant reductions in mean set sizes while conserving marginal coverage guarantees.