A Solution to Product detection in Densely Packed Scenes

23 Jul 2020  ·  Tianze Rong, Yanjia Zhu, Hongxiang Cai, Yichao Xiong ·

This work is a solution to densely packed scenes dataset SKU-110k. Our work is modified from Cascade R-CNN... To solve the problem, we proposed a random crop strategy to ensure both the sampling rate and input scale is relatively sufficient as a contrast to the regular random crop. And we adopted some of trick and optimized the hyper-parameters. To grasp the essential feature of the densely packed scenes, we analysis the stages of a detector and investigate the bottleneck which limits the performance. As a result, our method obtains 58.7 mAP on test set of SKU-110k. read more

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Results from the Paper

Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Dense Object Detection SKU-110K Cascade R-CNN AP 0.587 # 1
AP75 0.673 # 1