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Visual speech recognition with face inputs: code and models for F&G 2020 paper "Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition"
搭建tensorflow卷积网络训练flowers5分类模型,其中数据集是自己制作的tfrecords数据集,由于机器实在不给力只能搭建简单的卷积网络(2conv+2fullconnect)进行训练,整个网络搭建流程自己学习到的知识有:tfrecords数据集制作, 数据预处理,数据增广,训练模型数据的保存,tensorboard的使用, tfdbg的使用。数据增广方面除了使用tensorflow提供的函数,自己用tf.py_func定义了一个图片旋转的op, 可以随机旋转-20到20度。
Hands-On Computer Vision with TensorFlow 2, published by Packt
DenseNet3D Model In "LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild", https://arxiv.org/abs/1810.06990
ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks
《Python数据预处理技术与实践》源码下载
Using siamese network to do dimensionality reduction and similar image retrieval
第一个repository呢
Visual Speech Recognition for Multiple Languages
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