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  • Arctic Code Vault Contributor

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  1. SOLO: Segmenting Objects by Locations

    Python 152 17

  2. SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)

    Python 150 20

  3. YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

    Python 45 12

  4. Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val

    Python 77 8

  5. Pytorch implementation of three Multiple Instance Learning or Multi-classification papers

    Python 69 18

194 contributions in the last year

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Contribution activity

September 2020

Created an issue in facebookresearch/detr that received 2 comments

Why add a dropout parameter to the generation of attention map

Thanks for your work, what's the purpose of dropout in attention map generation ? detr/models/segmentation.py Line 34 in 5e66b4c The num…

2 comments

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