Nov 30, 2020 · In this paper, we propose a simple yet effective algorithm based on a novel observation: in a trained neural network, OoD samples with bounded ...
The central idea of FSSD algorithm is to use the following FSSD score to tell OoD samples from in-distribution ones: where is the feature extractor and is ...
In this paper, we propose a simple yet effective algorithm based on a novel observa- tion: in a trained neural network, OoD samples with bounded norms well ...
Feature Space Singularity for Out-of-Distribution Detection
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Nov 30, 2020 · A simple yet effective algorithm based on a novel observation: in a trained neural network, OoD samples with bounded norms well concentrate ...
Mar 10, 2023 · Bibliographic details on Feature Space Singularity for Out-of-Distribution Detection.
Dec 17, 2020 · In this paper, we propose a simple yet effective algorithm based on a novel observation: in a trained neural network, OoD samples with bounded ...
Oct 31, 2022 · We propose a simple yet effective post hoc OOD detection method by removing the rank-1 matrix from the high-level feature.
Missing: Singularity | Show results with:Singularity
Mar 2, 2024 · We will explore the concept of out-of-distribution (OOD) detection and introduce a Novel method called Feature Space Singularity Detection (FSSD) ...
Feature Space Singularity for Out-of-Distribution Detection. 2020. Fashion-MNIST. Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 ...
Feature Space Singularity for Out-of-Distribution Detection · Fetv: A benchmark for fine-grained evaluation of open-domain text-to-video generation · TempCompass: ...