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08/05/2023
DeDrift: Robust Similarity Search under Content Drift
The statistical distribution of content uploaded and searched on media s...
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06/15/2023
The 2023 Video Similarity Dataset and Challenge
This work introduces a dataset, benchmark, and challenge for the problem...
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03/27/2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Generative image modeling enables a wide range of applications but raise...
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10/05/2022
Active Image Indexing
Image copy detection and retrieval from large databases leverage two com...
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05/08/2022
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search
Despite the broad range of algorithms for Approximate Nearest Neighbor S...
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02/21/2022
A Self-Supervised Descriptor for Image Copy Detection
Image copy detection is an important task for content moderation. We int...
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02/08/2022
Results and findings of the 2021 Image Similarity Challenge
The 2021 Image Similarity Challenge introduced a dataset to serve as a n...
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12/17/2021
Watermarking Images in Self-Supervised Latent Spaces
We revisit watermarking techniques based on pre-trained deep networks, i...
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12/17/2021
Nearest neighbor search with compact codes: A decoder perspective
Modern approaches for fast retrieval of similar vectors on billion-scale...
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12/06/2021
Embedding Arithmetic for Text-driven Image Transformation
Latent text representations exhibit geometric regularities, such as the ...
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06/17/2021
XCiT: Cross-Covariance Image Transformers
Following their success in natural language processing, transformers hav...
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06/17/2021
The 2021 Image Similarity Dataset and Challenge
This paper introduces a new benchmark for large-scale image similarity d...
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04/02/2021
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
We design a family of image classification architectures that optimize t...
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12/23/2020
Training data-efficient image transformers distillation through attention
Recently, neural networks purely based on attention were shown to addres...
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11/25/2020
Grafit: Learning fine-grained image representations with coarse labels
This paper tackles the problem of learning a finer representation than t...
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08/13/2020
Powers of layers for image-to-image translation
We propose a simple architecture to address unpaired image-to-image tran...
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07/09/2020
Generalized Many-Way Few-Shot Video Classification
Few-shot learning methods operate in low data regimes. The aim is to lea...
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07/02/2020
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Contrastive Predictive Coding (CPC), based on predicting future segments...
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03/18/2020
Fixing the train-test resolution discrepancy: FixEfficientNet
This note complements the paper "Fixing the train-test resolution discre...
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02/03/2020
Radioactive data: tracing through training
We want to detect whether a particular image dataset has been used to tr...
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10/16/2019
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
The transcriptions used to train an Automatic Speech Recognition (ASR) s...
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08/29/2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Membership inference determines, given a sample and trained parameters o...
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06/14/2019
Fixing the train-test resolution discrepancy
Data-augmentation is key to the training of neural networks for image cl...
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02/14/2019
MultiGrain: a unified image embedding for classes and instances
MultiGrain is a network architecture producing compact vector representa...
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09/17/2018
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets
Convolutional neural networks memorize part of their training data, whic...
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07/15/2018
Deep Clustering for Unsupervised Learning of Visual Features
Clustering is a class of unsupervised learning methods that has been ext...
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06/08/2018
A neural network catalyzer for multi-dimensional similarity search
This paper aims at learning a function mapping input vectors to an outpu...
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08/09/2017
An evaluation of large-scale methods for image instance and class discovery
This paper aims at discovering meaningful subsets of related images from...
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06/07/2017
Low-shot learning with large-scale diffusion
This paper considers the problem of inferring image labels for which onl...
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06/05/2017
QuickCSG: Fast Arbitrary Boolean Combinations of N Solids
QuickCSG computes the result for general N-polyhedron boolean expression...
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04/13/2017
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
In this paper, we use the framework of neural machine translation to lea...
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02/28/2017
Billion-scale similarity search with GPUs
Similarity search finds application in specialized database systems hand...
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12/12/2016
FastText.zip: Compressing text classification models
We consider the problem of producing compact architectures for text clas...
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09/21/2016
How should we evaluate supervised hashing?
Hashing produces compact representations for documents, to perform tasks...
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09/07/2016
Polysemous codes
This paper considers the problem of approximate nearest neighbor search ...
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03/01/2016
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach
Convolutional neural networks (CNNs) have recently received a lot of att...
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06/08/2015
Circulant temporal encoding for video retrieval and temporal alignment
We address the problem of specific video event retrieval. Given a query ...
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02/18/2011