Anomaly Multi-classification in Industrial Scenarios: Transferring
Few-shot Learning to a New Task

Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task

9 June 2024

Zongze Wu

Papers citing "Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task"

4 / 4 papers shown

Title
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 67 184 0 26 Mar 2023
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 73 194 0 20 Apr 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 627 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017