siamfc-tf - SiamFC tracking in TensorFlow.
TensorFlow port of the tracking method described in the paper Fully-Convolutional Siamese nets for object tracking.
In particular, it is the improved version presented as baseline in End-to-end representation learning for Correlation Filter based tracking, which achieves state-of-the-art performance at high framerate. The other methods presented in the paper (similar performance, shallower network) haven't been ported yet.
Note1: results should be similar (i.e. slightly better or worse) than our MatConvNet implementation. However, for direct comparison please refer to the precomputed results available in the project pages or to the original code, which you can find pinned in my GitHub.
Note2: at the moment this code only allows to use a pretrained net in forward mode.
