RODD: A Self-Supervised Approach for Robust Out-of-Distribution
Detection

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

6 April 2022

Ashkan Esmaeili

Nazanin Rahnavard

Papers citing "RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection"

9 / 9 papers shown

Title
Can We Ignore Labels In Out of Distribution Detection? Hong Yang Qi Yu Travis Desel OODD 36 0 0 20 Apr 2025
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 51 1 0 22 Jan 2024
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention Franciskus Xaverius Erick Mina Rezaei Johanna P. Müller Bernhard Kainz 9 0 0 30 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 17 1 0 23 Nov 2023
Quantile-based Maximum Likelihood Training for Outlier Detection Masoud Taghikhah Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 27 3 0 20 Aug 2023
CLIP-GCD: Simple Language Guided Generalized Category Discovery Rabah Ouldnoughi Chia-Wen Kuo Z. Kira VLM 11 14 0 17 May 2023
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 11 1 0 20 Aug 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Nazmul Karim Umar Khalid Ashkan Esmaeili Nazanin Rahnavard NoLa CLL 31 15 0 21 Apr 2022
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