The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
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what is difference between "sintel_ft.json" and "sintel_raw.json" after 50 epoch #24
I notice your aflow has two steps during training. At 'raw data' step, you use 'stage1' as second stage. But I observe the hyper parameters at "stage1" is the same as "ft.json". So I want to know why you train arflow twice with same hyper parameters?
I notice your aflow has two steps during training. At 'raw data' step, you use 'stage1' as second stage. But I observe the hyper parameters at "stage1" is the same as "ft.json". So I want to know why you train arflow twice with same hyper parameters?