This paper proposes anchor pruning for object detection in one-stage anchor-based detectors. While techniques are widely used to reduce the computational cost of convolutional neural networks, they tend focus on optimizing backbone networks where often most computations are. In this work we demonstrate an additional technique, specifically detection: pruning. With more efficient and a growing t...
