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To provide depth prediction in the initialization of map
points in CNN-SVO, we adopt the Resnet50 variant of the
encoder-decoder architecture from [7] that has already been
trained on Cityscape dataset. Next, we fine-tune the network on stereo images in KITTI raw data excluding KITTI
Odometry Sequence 00-10 using original settings in [7]
for 50 epochs
How is your depth predictor trained? What is the code for training? What training set did you use?
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