PeleeNet is a convolutional neural network and object detection backbone that is a variation of DenseNet with optimizations to meet a memory and computational budget. Unlike competing networks, it does not use depthwise convolutions and instead relies on regular convolutions.
Source: Pelee: A Real-Time Object Detection System on Mobile DevicesPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Object Detection | 2 | 25.00% |
Real-Time Object Detection | 2 | 25.00% |
Computational Efficiency | 1 | 12.50% |
Emotion Recognition | 1 | 12.50% |
Facial Expression Recognition (FER) | 1 | 12.50% |
Image Classification | 1 | 12.50% |