CSPNet: A New Backbone that can Enhance Learning Capability of CNN

27 Nov 2019Chien-Yao WangHong-Yuan Mark LiaoI-Hau YehYueh-Hua WuPing-Yang ChenJun-Wei Hsieh

Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection. However, such success greatly relies on costly computation resources, which hinders people with cheap devices from appreciating the advanced technology... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Real-Time Object Detection COCO CSPResNeXt50-PANet-SPP MAP 33.4 # 9
FPS 58 # 3
Image Classification ImageNet CSPResNeXt-50 (Mish+Aug) Top 1 Accuracy 79.8% # 65
Top 5 Accuracy 95.2% # 38
Number of params 20.5M # 2