Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection

1 February 2023

Papers citing "Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection"

7 / 7 papers shown

Title
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 65 0 0 25 Apr 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang Adam Dziedzic Grace C. Kim Michael Backes Franziska Boenisch 79 0 0 11 Feb 2025
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis Brian K. S. Isaac-Medina Yona Falinie A. Gaus Neelanjan Bhowmik T. Breckon 21 2 0 22 Jul 2024
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis Elias Werner Nishant Kumar Matthias Lieber Sunna Torge Stefan Gumhold W. Nagel 13 4 0 17 Apr 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 174 220 0 02 Feb 2022
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015