![]() YolactEdge leverages the facility of Nvidia TensorRT machine inference engine to quantize the network parameters to fewer bits while systematically balancing any tradeoff inaccuracy, and it also leverages temporal redundancy in the video, and learn to rework and propagate features over time in order that the deep network’s expensive backbone feature computation doesn’t get to be fully computed on every frame. In order to do inferences in real-time speeds on edge devices, the authors built the SOTA image-based real-time instances segmentation method YOLACT and did some new changes mainly two: one at algorithms level and other system levels.
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