Heedless Backbones

MHLA-VLT Family

Paper | GitHub
Select an option
Results
Parameters (M)
Images / Second
Publication Date
Select an option
---------
Object Detection
Instance Segmentation
Classification
Semantic Segmentation
Panoptic Segmentation
Select an option
---------
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)
Select an option
----------
Top-1
Top-5
GFLOPs
Select an option
----------
224x224
384x384
512x512
Select an option
Results
Parameters (M)
Images / Second
GFLOPs
Publication Date
Select an option
---------
ImageNet-1k
ImageNet-22k
JFT-300M
JFT-3B
MegData73M
WT++London
WT++
Select an option
----------
Supervised
Sup. + TL
FCMAE
MAE
CL
MAP
Self-Distillation
Select an option
Family
Pretrain Dataset
Classification Resolution
Select an option
----------
Family
Pretrain Method
Classification Resolution
modelparams (m)pretrainfinetuneGFLOPsTop-1
MHLA-VLT-T16.0IN-1k : Sup. : 300— : — : —2.482.6
MHLA-VLT-S27.0IN-1k : Sup. : 300— : — : —4.684.6
modelparams (m)pretrainfinetunegflopsIN-1k
MHLA-VLT-T16.0IN-1k : Sup. : 300— : — : —2.482.6/—
MHLA-VLT-S27.0IN-1k : Sup. : 300— : — : —4.684.6/—