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Models/MixMIM-L

MixMIM-L

Reported on 9 benchmarks across 8 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

  • 3DonCOCO 2017
    mAP· 2022-05-26
    54.1
    best: 56.4 (UniRepLKNet-XL++)
    SOTA
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137
  • 2D ClassificationonCOCO 2017
    mAP· 2022-05-26
    54.1
    best: 56.4 (UniRepLKNet-XL++)
    SOTA
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137
  • 2D Object DetectiononCOCO 2017
    mAP· 2022-05-26
    54.1
    best: 56.4 (UniRepLKNet-XL++)
    SOTA
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137
  • 16konCOCO 2017
    mAP· 2022-05-26
    54.1
    best: 56.4 (UniRepLKNet-XL++)
    SOTA
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137

Computer Vision3 results

  • Object DetectiononCOCO 2017
    mAP· 2022-05-26
    54.1
    best: 56.4 (UniRepLKNet-XL++)
    SOTA
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137
  • Image ClassificationonPlaces205
    Top 1 Accuracy· 2022-05-26
    69.3
    SOTA
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137
  • Image ClassificationoniNaturalist 2019
    Top-1 Accuracy· 2022-05-26
    83.9
    best: 88.5 (Hiera-H (448px))
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137

Medical1 result

  • Semantic SegmentationonADE20K val
    mIoU· 2022-05-26
    53.8
    best: 62.8 (BEiT-3)
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137

Audio1 result

  • 10-shot image generationonADE20K val
    mIoU· 2022-05-26
    53.8
    best: 62.8 (BEiT-3)
    MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision TransformersarXiv:2205.13137