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soa-video-prediction-21's Introduction

State of Art Video Prediction 2021

This repository references to the paper "A Review on Deep Learning Techniques for Video Prediction", and provides a unified collection of the best-performing architectures in order to explore the advancements in video prediction in 2021.

Architectures

Deterministic

Probabilistic

Experiments

Fully Attention-Based

I am currently working on the application of fully attention-based models that attempt to overcome the limitations with Convolutional Neural Networks.

Thank you

Credits list to be released soon. All the credits are reserved to the sources mentioned above.

soa-video-prediction-21's People

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soa-video-prediction-21's Issues

pytorch runtime error: CUDA out of memory. on E3D-LSTM model

I am trying to run the E3D-LSTM model, but I keep getting runtime errors. Have you encountered this kind of problem when running it? My GPU is 2080 10G and there are no other running programs. Thank you!

RuntimeError: CUDA out of memory. Tried to allocate 392.00 MiB (GPU 0; 10.73 GiB total capacity; 9.47 GiB already allocated; 347.56 MiB free; 9.51 GiB reserved in total by PyTorch)

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