metafile.yml

Collections:
  - Name: SiameseRPN++
    Metadata:
      Training Data: LaSOT
      Training Techniques:
        - SGD with Momentum
      Training Resources: 8x V100 GPUs
      Architecture:
        - ResNet
    Paper:
        URL: https://arxiv.org/abs/1812.11703
        Title: SiamRPN++ Evolution of Siamese Visual Tracking with Very Deep Networks
    README: configs/sot/siamese_rpn/README.md

Models:
  - Name: siamese_rpn_r50_1x_lasot
    In Collection: SiameseRPN++
    Config: configs/sot/siamese_rpn/siamese_rpn_r50_1x_lasot.py
    Metadata:
      Training Data: MSCOCO, ImageNet DET, ImageNet VID
      Training Memory (GB): 7.54
      Epochs: 20
    Results:
      - Task: Single Object Tracking
        Dataset: LaSOT
        Metrics:
          Success: 49.9
          Norm precision: 57.9
    Weights: https://download.openmmlab.com/mmtracking/sot/siamese_rpn/siamese_rpn_r50_1x_lasot/siamese_rpn_r50_1x_lasot_20201218_051019-3c522eff.pth