Here are
43 public repositories
matching this topic...
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
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Jan 23, 2024
Python
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
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Dec 8, 2023
Python
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
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Jul 10, 2024
Python
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Jun 29, 2024
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SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)
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May 3, 2024
Python
Updated
Jul 19, 2022
Python
reproduction of semantic segmentation using masked autoencoder (mae)
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Feb 3, 2022
Python
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May 21, 2023
Python
[CVPR'23] Hard Patches Mining for Masked Image Modeling
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Dec 22, 2023
Python
Official Implementation of the CrossMAE paper: Rethinking Patch Dependence for Masked Autoencoders
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May 16, 2024
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Codebase for the paper 'EncodecMAE: Leveraging neural codecs for universal audio representation learning'
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Jun 21, 2024
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Unofficial PyTorch implementation of Masked Autoencoders that Listen
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Aug 8, 2022
Python
[SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
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Jun 1, 2023
Python
[NeurIPS 2022 Spotlight] VideoMAE for Action Detection
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Feb 3, 2023
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Multi-scale Transformer Network for Cross-Modality MR Image Synthesis (IEEE TMI)
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Dec 24, 2023
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Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".
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Apr 3, 2023
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Official repo for Recursion's accepted spotlight paper at NeurIPS 2023 Generative AI & Biology workshop.
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Jun 24, 2024
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Official Pytorch implementation of EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens [ICML2024].
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Jun 15, 2024
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Understanding Self-Supervised Learning in a Decentralized Setting
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Oct 21, 2022
Python
[NeurIPS 2023] Masked Image Residual Learning for Scaling Deeper Vision Transformers
Updated
May 29, 2024
Python
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