memory footprint
We provide a simple pseudo-2
We thank all the reviewers for their constructive comments. We will provide details in the final draft. MCUNet shows consistent improvement across different devices (F746, H743) and tasks (classification, detection). R1: Whether the overall network topology brings major improvement. R2: Why the auto-tuning in TVM fails to work on MCUs.
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Stepan Tulyakov, Anton Ivanov, François Fleuret
Neural Information Processing Systems http://nips.cc/
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main aim of our work is to develop reversible graph neural network models, called Graph Normalizing Flows (GNFs)
We thank the reviewers for their detailed comments. We are glad to see a generally positive assessment of our work. We will report larger-scale results in the final draft. Below, we address specific reviewer comments. When using 12G GPU machines, this difference is significant.
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