mobilenet-v1-ssd300.tensorflow (8bit quantized and fine-tuned)

Application: Single-stage Object Detection Base model: MobileNet-v1 Framework: tensorflow1.1 Training Information: weights were fine-tuned using TF fake quantization nodes Quality: The COCO mAP(IoU=0.50:0.95) on 5000 validation images is 23.0% Precision: 8-bit precision Is Quantized: Yes, using fake quantization - i.e., weights appear in float32 but have only 256 unique values. Dataset: COCO val-2017

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average