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When Text and Images Don't Mix: Bias-Correcting Language-Image
  Similarity Scores for Anomaly Detection

When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection

24 July 2024
Adam Goodge
Bryan Hooi
Wee Siong Ng
ArXivPDFHTML

Papers citing "When Text and Images Don't Mix: Bias-Correcting Language-Image Similarity Scores for Anomaly Detection"

5 / 5 papers shown
Title
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
68
222
0
27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
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
Anomaly Detection Requires Better Representations
Anomaly Detection Requires Better Representations
Tal Reiss
Niv Cohen
Eliahu Horwitz
Ron Abutbul
Yedid Hoshen
OOD
AI4TS
SSL
44
21
0
19 Oct 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero
  Outlier Images
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Philipp Liznerski
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
UQCV
38
44
0
23 May 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
390
4,110
0
28 Jan 2022
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