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05/09/2023
ImageBind: One Embedding Space To Bind Them All
We present ImageBind, an approach to learn a joint embedding across six ...
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04/14/2023
DINOv2: Learning Robust Visual Features without Supervision
The recent breakthroughs in natural language processing for model pretra...
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04/10/2023
Are Visual Recognition Models Robust to Image Compression?
Reducing the data footprint of visual content via image compression is e...
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01/26/2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
Lossy image compression aims to represent images in as few bits as possi...
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12/14/2022
Image Compression with Product Quantized Masked Image Modeling
Recent neural compression methods have been based on the popular hyperpr...
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06/16/2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
Transformer-based architectures have become competitive across a variety...
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03/18/2022
Three things everyone should know about Vision Transformers
After their initial success in natural language processing, transformer ...
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12/27/2021
Augmenting Convolutional networks with attention-based aggregation
We show how to augment any convolutional network with an attention-based...
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12/20/2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Pre-training models on large scale datasets, like ImageNet, is a standar...
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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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05/07/2021
ResMLP: Feedforward networks for image classification with data-efficient training
We present ResMLP, an architecture built entirely upon multi-layer perce...
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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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02/10/2021
Training Vision Transformers for Image Retrieval
Transformers have shown outstanding results for natural language underst...
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10/28/2019
Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking
Deep neural networks require collecting and annotating large amounts of ...
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11/24/2018
Keep Drawing It: Iterative language-based image generation and editing
Conditional text-to-image generation approaches commonly focus on genera...
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02/23/2018
