Social LSTM implementation in PyTorch. Contribute to quancore/social-lstm development by creating an account on GitHub.
Social LSTM implementation in PyTorch. Contribute to quancore/social-lstm development by creating an account on GitHub.
Added test dataset functionality to social lstm model Nov 3, 2016 social_train.py Changed a bunch of parameters Nov 3, 2016 social_utils.py Added datasets functionality Nov 3, 2016 train.py Added datasets functionality Nov 3, 2016 utils.py ...
在每个时间,LSTM小区从邻居的LSTM接收合并的隐藏状态信息,在汇集信息时,我们尝试通过基于网格的池化来保留空间信息。 LSTM 在时间 t 捕获那个瞬间场景中第 i 个人的潜在表征为隐藏状态h_{i}^{t}。我们加入一个 Social Pooling层来共享邻近的信息,构建了一个N_{0}\times N_{0}\times D张量(两个维度是平面坐...
在这一部分中,论文描述了基于池化的LSTM模型,如图1,该模型结合使用预测场景中所有人的轨迹。该方法被称为Social LSTM模型。 图1. Social-LSTM方法整体流程图,对于场景中每个个体使用单独的LSTM网络。然后通过社交池化的方式相互连接,该池化层允许空间临近的LSTM权重共享,通过这种方式网格范围内的所有节点进行信息融合 ...
PyTorch implementation of the Social LSTM model. Contribute to avijit9/social-lstm-pytorch development by creating an account on GitHub.
本文接下来的实现代码来自https://github.com/xuerenlv/social-lstm-tf,代码语言为Python3,代码大体实现了原论文中核心原创部分的模型,包括Vanilla LSTM(没有考虑行人轨迹之间关联性的LSTM)和Social LSTM(使用池化层考虑了行人轨迹之间关联性的LSTM模型)的模型构建、训练和小样本测试的代码,但对横向对比的其他模型、...
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Social LSTM using PyTorch for Vehicle Data https://github.com/EmreTaha/Social-LSTM-VehicleTrajectory
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