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PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track
時間 2021-07-12
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We use a two-stage Faster R-CNN style object detection framework [12] and leverage an SE-ResNeXt or SENet [4] model as the backbone feature extractor. To increase the global context information in the
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相關文章
1.
DIUx xView 2018 Detection Challenge
2.
Learning to Track Any Object
3.
COCO Detection Challenge
4.
視頻目標檢測跟蹤--Detect to Track and Track to Detect
5.
Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images Datas
6.
轉:awesome-object-detection
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