Speed/accuracy trade-offs for modern convolutional object detectors

https://medium.com/@phelixlau/speed-accuracy-trade-offs-for-modern-convolutional-object-detectors-bbad4e4e0718

Huang, Jonathan, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, et al. 2016. “Speed/accuracy Trade-Offs for Modern Convolutional Object Detectors.” arXiv [cs.CV]. arXiv. http://arxiv.org/abs/1611.10012

Key points:

• Provide a survey of CNN-based object detector with consistent naming and diagrams
• Amazing graphs and analysis of performance vs. accuracy
• 3 families of detector: Faster R-CNN, R-FCN (region-based fully convolutional network) and SSD (single-shot detector)
• Found that using fewer proposal in Faster R-CNN will not result in a big loss in accuracy
• Ensemble achieves state-of-the-art detection on MSCOCO