Face recognition has made significant progress in recent years due to de...
Most teacher-student frameworks based on knowledge distillation (KD) dep...
Real-time generic object detection on mobile platforms is a crucial but
...
Modern object detectors usually suffer from low accuracy issues, as
fore...
Depthwise convolutions provide significant performance benefits owing to...
Compact neural networks are inclined to exploit "sparsely-connected"
con...
We present Fast-Downsampling MobileNet (FD-MobileNet), an efficient and
...
One of the major challenges in object detection is to propose detectors ...