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06/26/2023
Kosmos-2: Grounding Multimodal Large Language Models to the World
We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enablin...
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02/28/2023
Generic-to-Specific Distillation of Masked Autoencoders
Large vision Transformers (ViTs) driven by self-supervised pre-training ...
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10/19/2022
A Unified View of Masked Image Modeling
Masked image modeling has demonstrated great potential to eliminate the ...
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10/12/2022
Foundation Transformers
A big convergence of model architectures across language, vision, speech...
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08/22/2022
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
A big convergence of language, vision, and multimodal pretraining is eme...
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08/12/2022
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Masked image modeling (MIM) has demonstrated impressive results in self-...
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05/19/2022
Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
Modern object detectors have taken the advantages of pre-trained vision ...
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10/06/2021
Long-tailed Distribution Adaptation
Recognizing images with long-tailed distributions remains a challenging ...
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05/09/2021
Conformer: Local Features Coupling Global Representations for Visual Recognition
Within Convolutional Neural Network (CNN), the convolution operations ar...
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03/27/2021
