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Add VideoMAE (#17821)

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* First draft

* Add VideoMAEForVideoClassification

* Improve conversion script

* Add VideoMAEForPreTraining

* Add VideoMAEFeatureExtractor

* Improve VideoMAEFeatureExtractor

* Improve docs

* Add first draft of model tests

* Improve VideoMAEForPreTraining

* Fix base_model_prefix

* Make model take pixel_values of shape (B, T, C, H, W)

* Add loss computation of VideoMAEForPreTraining

* Improve tests

* Improve model testsé

* Make all tests pass

* Add VideoMAE to main README

* Add tests for VideoMAEFeatureExtractor

* Add integration test

* Improve conversion script

* Rename patch embedding class

* Remove VideoMAELayer from init

* Update design of patch embeddings

* Improve comments

* Improve conversion script

* Improve conversion script

* Add conversion of pretrained model

* Add loss verification of pretrained model

* Add loss verification of unnormalized targets

* Add integration test for pretraining model

* Apply suggestions from code review

* Fix bug to make feature extractor resize only shorter edge

* Address more comments

* Improve normalization of videos

* Add doc examples

* Move constants to dedicated script

* Remove scripts

* Transfer checkpoints, fix docs

* Update script

* Update image mean and std

* Fix doc tests

* Set return_tensors to NumPy by default

* Revert the previous change

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
This commit is contained in:
NielsRogge
2022-08-04 18:02:55 +02:00
committed by GitHub
parent 672b66262a
commit f9a0008d2d
29 changed files with 2596 additions and 33 deletions
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README_zh-hans.md
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@@ -348,6 +348,7 @@ conda install -c huggingface transformers
1. **[UniSpeech](https://huggingface.co/docs/transformers/model_doc/unispeech)** (来自 Microsoft Research) 伴随论文 [UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data](https://arxiv.org/abs/2101.07597) 由 Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang 发布。
1. **[UniSpeechSat](https://huggingface.co/docs/transformers/model_doc/unispeech-sat)** (来自 Microsoft Research) 伴随论文 [UNISPEECH-SAT: UNIVERSAL SPEECH REPRESENTATION LEARNING WITH SPEAKER AWARE PRE-TRAINING](https://arxiv.org/abs/2110.05752) 由 Sanyuan Chen, Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Xiangzhan Yu 发布。
1. **[VAN](https://huggingface.co/docs/transformers/model_doc/van)** (来自 Tsinghua University and Nankai University) 伴随论文 [Visual Attention Network](https://arxiv.org/pdf/2202.09741.pdf) 由 Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu 发布。
1. **[VideoMAE](https://huggingface.co/docs/transformers/main/model_doc/videomae)** (来自 Multimedia Computing Group, Nanjing University) 伴随论文 [VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training](https://arxiv.org/abs/2203.12602) 由 Zhan Tong, Yibing Song, Jue Wang, Limin Wang 发布。
1. **[ViLT](https://huggingface.co/docs/transformers/model_doc/vilt)** (来自 NAVER AI Lab/Kakao Enterprise/Kakao Brain) 伴随论文 [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision](https://arxiv.org/abs/2102.03334) 由 Wonjae Kim, Bokyung Son, Ildoo Kim 发布。
1. **[Vision Transformer (ViT)](https://huggingface.co/docs/transformers/model_doc/vit)** (来自 Google AI) 伴随论文 [An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale](https://arxiv.org/abs/2010.11929) 由 Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby 发布。
1. **[VisualBERT](https://huggingface.co/docs/transformers/model_doc/visual_bert)** (来自 UCLA NLP) 伴随论文 [VisualBERT: A Simple and Performant Baseline for Vision and Language](https://arxiv.org/pdf/1908.03557) 由 Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang 发布。