Comments (2)
bryanyzhu
commented on May 28, 2024
There are some methods do early fusion of two streams and use a single loss, such as
Convolutional Two-Stream Network Fusion for Video Action Recognition
https://arxiv.org/abs/1604.06573
from two-stream-pytorch.
chojw
commented on May 28, 2024
Thanks for the reference!
from two-stream-pytorch.
Related Issues (20)
- About pre-trained Model HOT 2
- test video HOT 5
- Different running env? HOT 5
- Can you provide your results for loss and accuracy values of spatial and temporal training?
- The number of GPUs? HOT 1
- I use your restnet152 model parameters for testing， but in split_1 the accuracy is only 67.59%.
- Use the video input from the camera for action recognition HOT 7
- Problems about VideoSpatialPrediction.py HOT 2
- How is the two streams fused ? HOT 1
- What is the accuracy of UCF101?
- what's version of pytorch and cuda
- dense_flow 可不可以在windows安装 HOT 1
- 如果没有安装dense_flow，运行build_of.py文件，是不是不会运行出结果 HOT 1
- fusion two stream feature?
- a PROBLEM when using VGG as motion model
- 老师我想问下怎么late fusion呀 HOT 1
- 关于抽帧的图片存放路径 HOT 2
- video sampling rate in training two-stream network
- About parameter --new_length in training RGB videos
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