Heedless Backbones

LiSA-DeiT Family

Paper | GitHub
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Results
Parameters (M)
Images / Second
Publication Date
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Object Detection
Instance Segmentation
Classification
Semantic Segmentation
Panoptic Segmentation
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ImageNet-1k
ImageNet-A
ImageNet-R
ImageNet-Sketch
ImageNet-C
ImageNet-C-bar
ImageNet-V2
ImageNet-ReaL
PASCAL VOC 2007 (val)
PASCAL VOC 2007 (test)
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Top-1
Top-5
GFLOPs
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224x224
384x384
512x512
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Results
Parameters (M)
Images / Second
GFLOPs
Publication Date
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ImageNet-1k
ImageNet-22k
JFT-300M
JFT-3B
MegData73M
WT++London
WT++
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Supervised
Sup. + TL
FCMAE
MAE
CL
MAP
Self-Distillation
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Family
Pretrain Dataset
Classification Resolution
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Family
Pretrain Method
Classification Resolution
modelparams (m)pretrainfinetuneGFLOPsTop-1
LiSA-DeiT-T6.3IN-1k : Sup. : 300— : — : —1.2974.54
LiSA-DeiT-S23.08IN-1k : Sup. : 300— : — : —4.6680.78
modelparams (m)pretrainfinetunegflopsIN-1k
LiSA-DeiT-T6.3IN-1k : Sup. : 300— : — : —1.2974.54/—
LiSA-DeiT-S23.08IN-1k : Sup. : 300— : — : —4.6680.78/—