UFO: Unidentified Foreground Object Detection in 3D Point Cloud

no code implementations • 8 Jan 2024 • Hyunjun Choi, Hawook Jeong, Jin Young Choi

The evaluation includes a new approach to measure the performance on our goal, i. e. both localization and OOD detection of UFOs.

Autonomous Driving Object +3

Three Factors to Improve Out-of-Distribution Detection

no code implementations • 2 Aug 2023 • Hyunjun Choi, JaeHo Chung, Hawook Jeong, Jin Young Choi

In the problem of out-of-distribution (OOD) detection, the usage of auxiliary data as outlier data for fine-tuning has demonstrated encouraging performance.

Contrastive Learning Out-of-Distribution Detection +2

Balanced Energy Regularization Loss for Out-of-distribution Detection

1 code implementation • CVPR 2023 • Hyunjun Choi, Hawook Jeong, Jin Young Choi

Our balanced energy regularization loss utilizes class-wise different prior probabilities for auxiliary data to address the class imbalance in OOD data.

Classification Out-of-Distribution Detection +2

Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning

1 code implementation • 1 Feb 2023 • Nicholas Matsumoto, Anil Kumar Saini, Pedro Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore

In many evolutionary computation systems, parent selection methods can affect, among other things, convergence to a solution.