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This paper introduces a new benchmark for large-scale image similarity detection.
Modeling the shape of the scene: A holistic representation of the spatial envelope
A. Oliva and A. Torralba · 2001
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Content-based image copy detection
C. Kim · 2003
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Video google: A text retrieval approach to object matching in videos
J. Sivic and A. Zisserman · 2003
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Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Towards effective indexing for very large video sequence database
H. T. Shen, B. C. Ooi, and X. Zhou · 2005
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Scalable recognition with a vocabulary tree
D. Nister and H. Stewenius · 2006
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Total recall: Automatic query expansion with a generative feature model for object retrieval
O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman · 2007
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Muscle-vcd-2007: a live benchmark for video copy detection, 2007
J. Law-To, A. Joly, and N. Boujemaa · 2007
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Video histogram: A novel video signature for efficient web video duplicate detection
L. Liu, W. Lai, X.-S. Hua, and S.-Q. Yang · 2007
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Object retrieval with large vocabularies and fast spatial matching
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman · 2007
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Uqlips: a real-time near-duplicate video clip detection system
H. T. Shen, X. Zhou, Z. Huang, J. Shao, and X. Zhou · 2007
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Practical elimination of near-duplicates from web video search
X. Wu, A. G. Hauptmann, and C.-W. Ngo · 2007
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Hamming embedding and weak geometric consistency for large scale image search
H. Jegou, M. Douze, and C. Schmid · 2008
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Lost in quantization: Improving particular object retrieval in large scale image databases
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman · 2008
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A survey of the image copy detection
Y. Wan, Q. Yuan, S. Ji, L. He, and Y. Wang · 2008
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Evaluation of gist descriptors for web-scale image search
M. Douze, H. Jégou, H. Sandhawalia, L. Amsaleg, and C. Schmid · 2009
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Logo retrieval with a contrario visual query expansion
A. Joly and O. Buisson · 2009
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A family of contextual measures of similarity between distributions with application to image retrieval
F. Perronnin, Y. Liu, and J.-M. Renders · 2009
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Scalable detection of partial near-duplicate videos by visual-temporal consistency
H.-K. Tan, C.-W. Ngo, R. Hong, and T.-S. Chua · 2009
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An image-based approach to video copy detection with spatio-temporal post-filtering
M. Douze, H. Jégou, and C. Schmid · 2010
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Compact video description for copy detection with precise temporal alignment
M. Douze, H. Jégou, C. Schmid, and P. Pérez · 2010
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Large-scale image retrieval with compressed Fisher vectors
F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier · 2010
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Spatial coding for large scale partial-duplicate web image search
W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian · 2010
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Exploiting descriptor distances for precise image search
H. Jégou, M. Douze, and C. Schmid · 2011
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Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors
D. Qin, S. Gammeter, L. Bossard, T. Quack, and L. Van Gool · 2011
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Multiple feature hashing for real-time large scale near-duplicate video retrieval
J. Song, Y. Yang, Z. Huang, H. T. Shen, and R. Hong · 2011
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An evaluation of popular copy-move forgery detection approaches
V. Christlein, C. Riess, J. Jordan, C. Riess, and E. Angelopoulou · 2012
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Aggregating local image descriptors into compact codes
H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Perez, and C. Schmid · 2012
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Using extreme value theory for image detection
T. Furon and H. Jégou · 2013
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Trecvid 2012 – an overview of the goals, tasks, data, evaluation mechanisms and metrics, 2013
P. Over, G. Awad, M. Michel, J. Fiscus, G. Sanders, B. Shaw, W. Kraaij, A. F. Smeaton, and G. Quéot · 2013
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Event retrieval in large video collections with circulant temporal encoding
Learning spatial-temporal features for video copy detection by the combination of cnn and rnn
Y. Hu and X. Lu · 2018
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Revisiting oxford and paris: Large-scale image retrieval benchmarking
F. Radenovic, A. Iscen, G. Tolias, Y. Avrithis, and O. Chum · 2018
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Fine-tuning CNN image retrieval with no human annotation
F. Radenović, G. Tolias, and O. Chum · 2018
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Multigrain: a unified image embedding for classes and instances
M. Berman, H. Jégou, A. Vedaldi, I. Kokkinos, and M. Douze · 2019
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Fivr: Fine-grained incident video retrieval
G. Kordopatis-Zilos, S. Papadopoulos, I. Patras, and I. Kompatsiaris · 2019
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Visil: Fine-grained spatio-temporal video similarity learning
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J. Revaud, M. Douze, C. Schmid, and H. Jégou · 2013
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Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2013
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To aggregate or not to aggregate: Selective match kernels for image search
G. Tolias, Y. Avrithis, and H. Jégou · 2013
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Comofod—new database for copy-move forgery detection
D. Tralic, I. Zupancic, S. Grgic, and M. Grgic · 2013
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Neural codes for image retrieval
A. Babenko, A. Slesarev, A. Chigorin, and V. Lempitsky · 2014
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Explaining and harnessing adversarial examples
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2014
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VCDB: a large-scale database for partial copy detection in videos
Y.-G. Jiang, Y. Jiang, and J. Wang · 2014
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G. Kordopatis-Zilos, S. Papadopoulos, I. Patras, and I. Kompatsiaris · 2019
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A simple explanation for the existence of adversarial examples with small hamming distance
A. Shamir, I. Safran, E. Ronen, and O. Dunkelman · 2019
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Local features and visual words emerge in activations
O. Siméoni, Y. Avrithis, and O. Chum · 2019
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Targeted mismatch adversarial attack: Query with a flower to retrieve the tower
G. Tolias, F. Radenovic, and O. Chum · 2019
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Detecting photoshopped faces by scripting photoshop
S.-Y. Wang, O. Wang, A. Owens, R. Zhang, and A. A. Efros · 2019
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A simple framework for contrastive learning of visual representations
T. Chen, S. Kornblith, M. Norouzi, and G. Hinton · 2020
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The deepfake detection challenge dataset
B. Dolhansky, J. Bitton, B. Pflaum, J. Lu, R. Howes, M. Wang, and C. C. Ferrer · 2020
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Preserving integrity in online social networks
A. Halevy, C. C. Ferrer, H. Ma, U. Ozertem, P. Pantel, M. Saeidi, F. Silvestri, and V. Stoyanov · 2020
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Momentum contrast for unsupervised visual representation learning
K. He, H. Fan, Y. Wu, S. Xie, and R. Girshick · 2020
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Ciagan: Conditional identity anonymization generative adversarial networks
M. Maximov, I. Elezi, and L. Leal-Taixé · 2020
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Learning and aggregating deep local descriptors for instance-level recognition
G. Tolias, T. Jenicek, and O. Chum · 2020
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Google landmarks dataset v2 - A large-scale benchmark for instance-level recognition and retrieval
T. Weyand, A. Araujo, B. Cao, and J. Sim · 2020
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https://www.kaggle.com/c/landmark-recognition-challenge
Google landmark recognition challenge · 2021
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https://ai.facebook.com/blog/heres-how-were-using-ai-to-help-detect-misinformation/
Here’s how we’re using ai to help detect misinformation · 2021
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https://www.microsoft.com/en-us/photodna
Microsoft PhotoDNA · 2021
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https://ai.facebook.com/blog/using-ai-to-detect-covid-19-misinformation-and-exploitative-content/
Using ai to detect covid-19 misinformation and exploitative content · 2021
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Emerging properties in self-supervised vision transformers
M. Caron, H. Touvron, I. Misra, H. Jégou, J. Mairal, P. Bojanowski, and A. Joulin · 2021
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Watermarking images in self-supervised latent spaces
P. Fernandez, A. Sablayrolles, T. Furon, H. Jégou, and M. Douze · 2021
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Augly: Data augmentations for robustness
Z. Papakipos and J. Bitton · 2022
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A self-supervised descriptor for image copy detection
E. Pizzi, S. D. Roy, S. N. Ravindra, P. Goyal, and M. Douze · 2022
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