Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection

28 February 2023

Papers citing "Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection"

5 / 5 papers shown

Title
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 32 1 0 04 Jul 2024
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery Cristina-Madalina Dragan Muhammad Muneeb Saad M. H. Rehmani Ruairi O'Reilly EGVM MedIm 25 4 0 10 Aug 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020