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  • Megvii.
  • Beijing

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@Megvii-BaseDetection
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Pinned

  1. YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with ONNX, TensorRT, ncnn, and OpenVINO supported.

    Python 2.1k 286

  2. Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

    Python 1.3k 354

  3. Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

    Python 123 9

  4. yolov3 with mobilenet v2 and ASFF

    Python 899 186

  5. Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020

    Python 93 11

23 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri
Activity overview
Contributed to Megvii-BaseDetection/YOLOX, ruinmessi/Self-EMD, ruinmessi/RFBNet and 5 other repositories

Contribution activity

July 2021

Created 1 repository

Created a pull request in Megvii-BaseDetection/YOLOX that received 1 comment

fix(data): fix sampler bug for single device

close #19

+8 −10 1 comment
Opened 4 other pull requests in 1 repository

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