Fetching the paper…
Reading the bibliography…
The advent of the internet, followed shortly by the social media made it ubiquitous in consuming and sharing information between anyone with access to it.
Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc V. Le. 2019 · 1905
Earlier work this paper cites.
Pattern classification and scene analysis
R. O. Duda and P. E. Hart. 1973 · 1973
Earlier work this paper cites.
Signature verification using a" siamese" time delay neural network
Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, and Roopak Shah. 1993 · 1993
Earlier work this paper cites.
Learning many related tasks at the same time with backpropagation
Rich Caruana. 1994 · 1994
Earlier work this paper cites.
A robust content based digital signature for image authentication
Marc Schneider and Shih-Fu Chang. 1996 · 1996
Earlier work this paper cites.
Fast corner detection
Miroslav Trajkovic and Mark Hedley. 1998 · 1998
Earlier work this paper cites.
Object recognition from local scale-invariant features
D.G. Lowe. 1999 · 1999
Earlier work this paper cites.
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020a · 2002
Earlier work this paper cites.
Fonda, Kerry and Photo Fakery
Ken Light. 2004 · 2004
Earlier work this paper cites.
Learning a similarity metric discriminatively, with application to face verification
Sumit Chopra, Raia Hadsell, and Yann LeCun. 2005 · 2005
Earlier work this paper cites.
A performance evaluation of local descriptors
Krystian Mikolajczyk and Cordelia Schmid. 2005 · 2005
Earlier work this paper cites.
Big self-supervised models are strong semi-supervised learners
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey E. Hinton. 2020b · 2006
Earlier work this paper cites.
Block mean value based image perceptual hashing
Bian Yang, Fan Gu, and Xiamu Niu. 2006 · 2006
Earlier work this paper cites.
Speeded-up robust features (SURF)
Herbert Bay, Andreas Ess, Tinne Tuytelaars, and Luc Van Gool. 2008 · 2008
Earlier work this paper cites.
A fast local descriptor for dense matching
Engin Tola, Vincent Lepetit, and Pascal Fua. 2008 · 2008
Earlier work this paper cites.
BRIEF: binary robust independent elementary features
Michael Calonder, Vincent Lepetit, Christoph Strecha, and Pascal Fua. 2010 · 2010
Earlier work this paper cites.
Contour detection and hierarchical image segmentation
Pablo Arbeláez, Michael Maire, Charless Fowlkes, and Jitendra Malik. 2011 · 2011
Earlier work this paper cites.
Deep learning of representations for unsupervised and transfer learning
Yoshua Bengio. 2012 · 2011
Cited alongside, same era.
Orb: An efficient alternative to sift or surf
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski. 2011 · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
Cited alongside, same era.
ImageHash: Image Hashing library
Johannes Buchner. 2013 · 2013
Cited alongside, same era.
Faking sandy: characterizing and identifying fake images on twitter during hurricane sandy
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, and Anupam Joshi. 2013 · 2013
Cited alongside, same era.
The arab spring and its social media audiences: English and arabic twitter users and their networks
Axel Bruns, Tim Highfield, and Jean Burgess. 2014 · 2014
Memesequencer: Sparse matching for embedding image macros
Abhimanyu Dubey, Esteban Moro, Manuel Cebrian, and Iyad Rahwan. 2018 · 2018
Later among the works it cites.
Dejavu: a system for journalists to collaboratively address visual misinformation
Hana Matatov, Adina Bechhofer, Lora Aroyo, Ofra Amir, and Mor Naaman. 2018 · 2018
Later among the works it cites.
Image provenance analysis at scale
Daniel Moreira, Aparna Bharati, Joel Brogan, Allan Pinto, Michael Parowski, Kevin W Bowyer, Patrick J Flynn, Anderson Rocha, and Walter J Scheirer. 2018 · 2018
Later among the works it cites.
On the origins of memes by means of fringe web communities
Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. 2018 · 2018
Later among the works it cites.
Digital survivance and trickster humor: Exploring visual and digital indigenous epistemologies in the# nodapl movement
Angel M Hinzo and Lynn Schofield Clark. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Efficient cropping-resistant robust image hashing
Martin Steinebach, Huajian Liu, and York Yannikos. 2014 · 2014
Cited alongside, same era.
Visualizing and understanding convolutional networks
Matthew D. Zeiler and Rob Fergus. 2014 · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2015 · 2015
Cited alongside, same era.
Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna. 2015 · 2015
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Cited alongside, same era.
Instagrammatics and digital methods: Studying visual social media, from selfies and gifs to memes and emoji
Tim Highfield and Tama Leaver. 2016 · 2016
Cited alongside, same era.
Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Later among the works it cites.
The social media life of climate change: Platforms, publics, and future imaginaries
Warren Pearce, Sabine Niederer, Suay Melisa Özkula, and Natalia Sánchez Querubín. 2019 · 2019
Later among the works it cites.
Hybrid image-retrieval method for image-splicing validation
Nam Thanh Pham, Jong-Weon Lee, Goo-Rak Kwon, and Chun-Su Park. 2019 · 2019
Later among the works it cites.
Machine vision and social media images: Why hashtags matter
Marloes Annette Geboers and Chad Thomas Van De Wiele. 2020 · 2020
Later among the works it cites.
Visual cross-platform analysis: Digital methods to research social media images
Warren Pearce, Suay M Özkula, Amanda K Greene, Lauren Teeling, Jennifer S Bansard, Janna Joceli Omena, and Elaine Teixeira Rabello. 2020 · 2020
Later among the works it cites.
Voterfraud2020: a multi-modal dataset of election fraud claims on twitter
Anton Abilov, Yiqing Hua, Hana Matatov, Ofra Amir, and Mor Naaman. 2021 · 2021
Later among the works it cites.
Transformation-aware embeddings for image provenance
Aparna Bharati, Daniel Moreira, Patrick J Flynn, Anderson de Rezende Rocha, Kevin W Bowyer, and Walter J Scheirer. 2021 · 2021
Later among the works it cites.
Image matching from handcrafted to deep features: A survey
Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, and Junchi Yan. 2021 · 2021
Later among the works it cites.
Learning to break deep perceptual hashing: The use case neuralhash
Lukas Struppek, Dominik Hintersdorf, Daniel Neider, and Kristian Kersting. 2021 · 2021
Later among the works it cites.
Revisiting binary local image description for resource limited devices
Iago Suárez, José Miguel Buenaposada, and Luis Baumela. 2021 · 2021
Later among the works it cites.
Mobilising control and dissent: navigating the digital landscape in a remote aboriginal community
Kishan Kariippanon and Glen Gurruwiwi. 2022 · 2022
Closest in time.
Motif mining: Finding and summarizing remixed image content
William Theisen, Daniel Gonzalez, Zachariah Carmichael, Daniel Moreira, Tim Weninger, and Walter Scheirer. 2022 · 2022
Closest in time.