EB-RANSAC: Random Sample Consensus based on Energy-Based Model

Name: EB-RANSAC: Random Sample Consensus based on Energy-Based Model
Uploaded: 2026-10-08T11:29:18.242635+00:00
Duration: 335 s
Description: Energy-Based RANSAC (EB-RANSAC) is a robust method to estimate parameters by removing the need for random sampling. It uses an energy-based model and a single hyperparameter ($eta$) to find an estimator that minimizes a specific loss function. This approach effectively handles outliers in linear regression and maximum likelihood estimation.

Energy-Based RANSAC (EB-RANSAC) is a robust method to estimate parameters by removing the need for random sampling. It uses an energy-based model and a single hyperparameter ($eta$) to find an estimator that minimizes a specific loss function. This approach effectively handles outliers in linear regression and maximum likelihood estimation.

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