Search Results for author: Jakub Paplham

Found 3 papers, 1 papers with code

SCOD: From Heuristics to Theory

no code implementations25 Mar 2024 Vojtech Franc, Jakub Paplham, Daniel Prusa

Third, we introduce POSCOD, a simple method for learning a plugin estimate of the optimal SCOD strategy from both an ID data sample and an unlabeled mixture of ID and OOD data.

Reject option models comprising out-of-distribution detection

no code implementations11 Jul 2023 Vojtech Franc, Daniel Prusa, Jakub Paplham

The optimal prediction strategy for out-of-distribution (OOD) setups is a fundamental question in machine learning.

Out-of-Distribution Detection

A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark

1 code implementation10 Jul 2023 Jakub Paplham, Vojtech Franc

Comparing different age estimation methods poses a challenge due to the unreliability of published results stemming from inconsistencies in the benchmarking process.

 Ranked #1 on Age Estimation on ChaLearn 2016 (MAE metric, using extra training data)

Age Estimation Benchmarking

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