Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Paper • 2407.21794 • Published Jul 31, 2024 • 5
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models Paper • 2403.20331 • Published Mar 29, 2024 • 14
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Paper • 2009.14720 • Published Sep 30, 2020
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection Paper • 2306.09301 • Published Jun 15, 2023
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments Paper • 2106.03917 • Published Jun 7, 2021
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models Paper • 2404.02936 • Published Apr 3, 2024 • 3
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models Paper • 2403.20331 • Published Mar 29, 2024 • 14
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning Paper • 2306.01293 • Published Jun 2, 2023
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation Paper • 2210.12681 • Published Oct 23, 2022
Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models Paper • 2304.04521 • Published Apr 10, 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Paper • 2310.00847 • Published Oct 2, 2023