metafile.yml

Collections:
  - Name: MixFormer
    Metadata:
      Training Data: GOT10k, LaSOT, TrackingNet, MSCOCO
      Training Techniques:
        - AdamW
      Training Resources: 8x V100 GPUs
      Architecture:
        - Convolutional Vision TransFormer
    Paper:
        URL: https://arxiv.org/abs/2203.11082
        Title: "MixFormer: End-to-End Tracking with Iterative Mixed Attention"
    README: configs/sot/mixformer/README.md

Models:
  - Name: mixformer_cvt_500e_got10k
    In Collection: MixFormer
    Config: configs/sot/mixformer/mixformer_cvt_500e_got10k.py
    Results:
      - Task: Single Object Tracking
        Dataset: GOT10k
        Metrics:
          AO: 70.1
          SR0.5: 80.1
          SR0.75: 65.6
    Weights: https://download.openmmlab.com/mmtracking/sot/mixformer/mixformer_cvt_500e_got10k/mixformer_cvt_500e_got10k.pth

  - Name: mixformer_cvt_500e_lasot
    In Collection: MixFormer
    Config: configs/sot/mixformer/mixformer_cvt_500e_lasot.py
    Results:
      - Task: Single Object Tracking
        Dataset: LaSOT
        Metrics:
          Success: 69.0
          Norm Precision: 79.6
          Precision: 75.2
    Weights: https://download.openmmlab.com/mmtracking/sot/mixformer/mixformer_cvt_500e_lasot/mixformer_cvt_500e_lasot.pth

  - Name: mixformer_cvt_500e_trackingnet
    In Collection: MixFormer
    Config: configs/sot/mixformer/mixformer_cvt_500e_trackingnet.py
    Results:
      - Task: Single Object Tracking
        Dataset: TrackingNet
        Metrics:
          Success: 81.4
          Norm Precision: 86.8
          Precision: 80.3
    Weights: https://download.openmmlab.com/mmtracking/sot/mixformer/mixformer_cvt_500e_lasot/mixformer_cvt_500e_lasot.pth