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A Self-Supervised Descriptor for Image Copy Detection
v1v2 (latest)

A Self-Supervised Descriptor for Image Copy Detection

21 February 2022
Ed Pizzi
Sreya . Dutta Roy
Sugosh Nagavara Ravindra
Priya Goyal
Matthijs Douze
    SSL
ArXiv (abs)PDFHTMLGithub (298★)

Papers citing "A Self-Supervised Descriptor for Image Copy Detection"

42 / 42 papers shown
Title
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
169
1
0
09 Feb 2025
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
Daniel de Souza Severo
Giuseppe Ottaviano
Matthew Muckley
Karen Ullrich
Matthijs Douze
MQ
88
1
0
16 Jan 2025
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
Anubhav Jain
Yuya Kobayashi
Takashi Shibuya
Yuhta Takida
N. Memon
Julian Togelius
Yuki Mitsufuji
DiffM
176
2
0
23 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross
Hamidreza Kamkari
Tongzi Wu
Rasa Hosseinzadeh
Zhaoyan Liu
George Stein
Jesse C. Cresswell
Gabriel Loaiza-Ganem
130
9
0
31 Oct 2024
Investigating Memorization in Video Diffusion Models
Investigating Memorization in Video Diffusion Models
Chong Chen
Enhuai Liu
Daochang Liu
M. Shah
Chang Xu
VGenDiffM
133
1
0
29 Oct 2024
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chong Chen
Daochang Liu
M. Shah
Chang Xu
137
4
0
29 Oct 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
Xiao Liu
Xiaoliu Guan
Yu Wu
Jiaxu Miao
98
8
0
22 Jul 2024
The Faiss library
The Faiss library
Matthijs Douze
Alexandr Guzhva
Chengqi Deng
Jeff Johnson
Gergely Szilvasy
Pierre-Emmanuel Mazaré
Maria Lomeli
Lucas Hosseini
Hervé Jégou
171
180
0
16 Jan 2024
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
120
358
0
18 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
263
498
0
01 Oct 2021
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
Eric N. D. Nguyen
Tu Bui
Vishy Swaminathan
John Collomosse
50
15
0
07 Aug 2021
The 2021 Image Similarity Dataset and Challenge
The 2021 Image Similarity Dataset and Challenge
Matthijs Douze
Giorgos Tolias
Ed Pizzi
Zoe Papakipos
L. Chanussot
...
Maxim Maximov
Laura Leal-Taixé
Ismail Elezi
Ondřej Chum
Cristian Canton Ferrer
53
61
0
17 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
708
6,127
0
29 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
347
2,362
0
04 Mar 2021
Training Vision Transformers for Image Retrieval
Training Vision Transformers for Image Retrieval
Alaaeldin El-Nouby
Natalia Neverova
Ivan Laptev
Hervé Jégou
ViT
126
159
0
10 Feb 2021
Learning and aggregating deep local descriptors for instance-level
  recognition
Learning and aggregating deep local descriptors for instance-level recognition
Giorgos Tolias
Tomás Jenícek
Ondvrej Chum
FedML
222
102
0
26 Jul 2020
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
252
4,097
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
389
6,837
0
13 Jun 2020
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes
Douwe Kiela
Hamed Firooz
Aravind Mohan
Vedanuj Goswami
Amanpreet Singh
Pratik Ringshia
Davide Testuggine
97
608
0
10 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,859
0
13 Feb 2020
Distortion Agnostic Deep Watermarking
Distortion Agnostic Deep Watermarking
Xiyang Luo
Ruohan Zhan
Huiwen Chang
Feng Yang
P. Milanfar
WIGM
60
163
0
14 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
210
12,121
0
13 Nov 2019
Fixing the train-test resolution discrepancy
Fixing the train-test resolution discrepancy
Hugo Touvron
Andrea Vedaldi
Matthijs Douze
Hervé Jégou
125
423
0
14 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
622
4,798
0
13 May 2019
MultiGrain: a unified image embedding for classes and instances
MultiGrain: a unified image embedding for classes and instances
Maxim Berman
Hervé Jégou
Andrea Vedaldi
Iasonas Kokkinos
Matthijs Douze
63
111
0
14 Feb 2019
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
54
754
0
26 Jul 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,356
0
10 Jul 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
MQ
111
120
0
08 Jun 2018
Learning Rich Features for Image Manipulation Detection
Learning Rich Features for Image Manipulation Detection
Peng Zhou
Xintong Han
Vlad I. Morariu
L. Davis
ObjD
86
575
0
13 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
179
3,466
0
05 May 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
52
380
0
29 Mar 2018
Image Provenance Analysis at Scale
Image Provenance Analysis at Scale
Daniel Moreira
Aparna Bharati
Joel Brogan
A. Pinto
Michael Parowski
Kevin W. Bowyer
Patrick Flynn
Anderson de Rezende Rocha
Walter J. Scheirer
76
65
0
19 Jan 2018
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
84
1,307
0
03 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
287
9,803
0
25 Oct 2017
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
291
1,661
0
11 Oct 2017
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
141
852
0
13 Aug 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,733
0
28 Feb 2017
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard
  Examples
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Filip Radenovic
Giorgos Tolias
Ondřej Chum
SSL
95
599
0
08 Apr 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
74
806
0
05 Apr 2016
Particular object retrieval with integral max-pooling of CNN activations
Particular object retrieval with integral max-pooling of CNN activations
Giorgos Tolias
R. Sicre
Hervé Jégou
96
968
0
18 Nov 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
182
1,090
0
07 Mar 2014
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