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sail-sg/poolformer
PoolFormer: MetaFormer is Actually What You Need for Vision
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981
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3
Created at
1 year ago
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Bilinear attention networks for visual question answering
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This is a implementation of the 3D FLAME model in PyTorch
PyTorch repo for ``PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies'' (NeurIPS 2022)
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)


jnhwkim/ban-vqa
Bilinear attention networks for visual question answering
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506
Language
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1,295
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soubhiksanyal/FLAME_PyTorch
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Total stars
384
Language
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guochengqian/PointNeXt
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370
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sicxu/Deep3DFaceRecon_pytorch
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.
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805
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637
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3,414
Language
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HHousen/TransformerSum
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
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Total stars
330
Language
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tianzhi0549/FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
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Total stars
3,081
Language
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