SSD for Object Detection - Full-Precision, No Compression #177
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We have re-produced the SSD model for object detection. Our implementation is heavily based on this repo:
https://github.com/HiKapok/SSD.TensorFlow
We would like to thank the author for this highly scalable and high-performance re-implementation. Besides, the following repo and its author @jyhengcoder have contributed a lot to this PR:
https://github.com/jyhengcoder/PocketFlow
The full-precision model's mAP ranges from 0.774 to 0.779, which matches the results reported in the above repo (0.778) and the original SSD paper (0.772).
We are now working on modifying all the existing learners to support compression on the SSD model.