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디즈니와 칼텍에서 한 영화 관객들의 표정 데이터를 가지고 autoencoder와 matrix factorization으로 모델링 하는 논문인데 흥미로운 것 같습니다.
CVPR 2017 논문인데요,
기존 non-linear matrix factorization에 variational autoencoder을 적용하고 있습니다. 이를 통해 기존 baselin…
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Thank you so much for releasing this repository looks awesome!
Quick question how much time does it take you to train the graph classification/detection? let's say time per epoch?
Thanks!
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Hi Victor and others,
Has anyone trained the recent yolo(v1 v2 or v3) on the ego hands dataset and can probile provide a absic comparison in terms of speed and accuracy?
thanks in advanace
shre…
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Hi Yazan,
Thank you so much for sharing the code! I used the model on our dataset with GT observations and it works great!
May I ask if there are also code for running the model without GT obser…
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Hi, @jshtok I find there is only testing code in your repository, could you please add usage of your code about how to train your model? thanks.
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Why have you excluded an evaluation on very high quality annotations like [Davis dataset](http://davischallenge.org/index.html) and related F measure on boundaries?
bhack updated
5 years ago
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Hi, thanks for open sourcing your code for the paper. Leveraging temporal convolutions is a great idea and the results are promising. However, I just want to point out an issue about the back-projecti…