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Efficient Discovery and Effective Evaluation of Visual Perceptual
  Similarity: A Benchmark and Beyond

Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond

IEEE International Conference on Computer Vision (ICCV), 2023
28 August 2023
Oren Barkan
Tal Reiss
Jonathan Weill
Ori Katz
Roy Hirsch
Itzik Malkiel
Noam Koenigstein
ArXiv (abs)PDFHTMLGithub

Papers citing "Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond"

4 / 4 papers shown
AVAR-Net: A Lightweight Audio-Visual Anomaly Recognition Framework with a Benchmark Dataset
AVAR-Net: A Lightweight Audio-Visual Anomaly Recognition Framework with a Benchmark Dataset
Amjid Ali
Zulfiqar Ahmad Khan
Altaf Hussain
Muhammad Munsif
Adnan Hussain
Sung Wook Baik
208
0
0
15 Oct 2025
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box
  Models
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box ModelsIndustrial Conference on Data Mining (IDM), 2023
Oren Barkan
Yuval Asher
Amit Eshel
Yehonatan Elisha
Noam Koenigstein
270
9
0
25 Oct 2023
Deep Integrated Explanations
Deep Integrated ExplanationsInternational Conference on Information and Knowledge Management (CIKM), 2023
Oren Barkan
Yehonatan Elisha
Jonathan Weill
Yuval Asher
Amit Eshel
Noam Koenigstein
FAtt
457
9
0
23 Oct 2023
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.5K
4,857
0
17 Jun 2020
1
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