To alleviate this issue, we propose an encoder鈥揹ecoder model named SMAMS, based on spatiotemporal masked autoencoder and memory modules. First, we represent and mask some of the video events using spatiotemporal cubes. Then, the unmasked patches are inputted into the...
首先经过时序下采样的时序clip会进行tube mask掩码,掩码后未被掩蔽的token会被送入Decoder中,Decoder将基于这些token来恢复原始的视频,需要注意的是,这里的编码器和解码器都是vit的结构,不过编码器会比较大,解码器比较小,这将组成一个mask auto encoder的训练范式,这种范式非常的高效,因为只有一小部分的token会被...
MARLIN: Masked Autoencoder for facial video Representation LearnINg Zhixi Cai1, Shreya Ghosh1,2, Kalin Stefanov1, Abhinav Dhall1,3, Jianfei Cai1, Hamid Rezatofighi1, Reza Haffari1, Munawar Hayat1 1Monash University, 2 Curtin University, 3 Indian Institute of Tech...
组会前抱佛jio/动画讲CV/何凯明新作Masked Autoencoders Are Scalable Vision Learners/双语字幕喝CV的咖啡 立即播放 打开App,一起发弹幕看视频100+个相关视频 更多1011 -- 11:25 App 动画讲CV/BERT: Pre-training of Deep Bidirectional Transformers for Language Un/双语字幕 1816 1 10:40 App 动画讲CV/...
Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark 来自 arXiv.org 喜欢 0 阅读量: 2 作者:B Cao,Q Lu,J Feng,P Zhu,Q Hu,Q Wang 摘要: The dynamic imbalance of the fore-background is a major challenge in video object counting, which is usually caused by ...
Pre-training video transformers on extra large-scale datasets is generally required to achieve premier performance on relatively small datasets. In this paper, we show that video masked autoencoders (VideoMAE) are data-efficient learners for self-supervised video pre-training (SSVP). We are ...
ℎ ℎ 0 0 1 2 Input video ViT-based Autoencoder Appearance reconstruction Motion trajectory reconstruction (b) Appearance reconstruction vs. motion trajectory reconstruction. Figure 1. Illustration of motion trajectory reconstruction for Masked Motion Encoding. (a) Position chan...
VideoMAC is released under the MIT license and inherits all licenses of the aforementioned methods. If you want to use our code for non-academic use, please check the license first. Citation @inproceedings{pei2024videomac, title={VideoMAC: Video Masked Autoencoders Meet ConvNets}, author={Pei...
This project is under the CC BY-NC 4.0 license. SeeLICENSEfor details. References If you find this work useful for your research, please consider citing it. @inproceedings{cai2022marlin,title={MARLIN: Masked Autoencoder for facial video Representation LearnINg},author={Cai, Zhixi and Ghosh, Sh...
Wu, X., Ma, G., Lin, M., Lin, Z., Wang, Z., Hu, S.: Contextual masked auto-encoder for dense passage retrieval. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 4738–4746 (2023) Wang, J., Yang, Z., Yao, Z., Yu, H.: Jmlr: Joint medical...