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ICMR25-HMKD

PyTorch
semantic-segmentation
knowledge-distillation
multimodal
model-compression
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These are the training weights obtained by HMKD using different backbones on different datasets.

Files changed (8) hide show
  1. G12_deeplabv3_resnet101_camvid_OM((OM-resnet101-0.01))_best_model.pth +3 -0
  2. G12_deeplabv3_resnet101_citys_OM(deeplabv3-resnet101)_best_model.pth +3 -0
  3. G12_deeplabv3_resnet18_camvid_OM((OM-resnet18))_best_model.pth +3 -0
  4. G12_deeplabv3_resnet18_camvid_OM(CIRKD-camvid)_best_model.pth +3 -0
  5. G12_deeplabv3_resnet18_citys_OM(citys-mitb4-resnet18-new1-hsam3)_best_model.pth +3 -0
  6. G12_segformer_MiT_B0_camvid_OM((OM-camvid-0.0007-b0-adam))_best_model.pth +3 -0
  7. G12_segformer_MiT_B0_citys_OM(segformer-MiT-B0)_best_model.pth +3 -0
  8. G12_segformer_MiT_B4_camvid_OM((OM-camvid-0.0007-b4-2))_best_model.pth +3 -0
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