Heedless Backbones
Backbones
Heads
Datasets
|
About
SSDLite
Paper
|
GitHub
Plot Options
axis
Select an option
Results
Parameters (M)
Images / Second
Publication Date
task
Select an option
---------
Object Detection
dataset
Select an option
---------
COCO (val)
COCO (test)
PASCAL VOC 2007 (val)
PASCAL VOC 2007 (test)
metric
Select an option
----------
mAP
AP
50
AP
75
mAP
s
mAP
m
mAP
l
GFLOPs
axis
Select an option
Results
Parameters (M)
Images / Second
GFLOPs
Publication Date
Filters
pretrain dataset
Select an option
---------
ImageNet-1k
ImageNet-22k
JFT-300M
JFT-3B
MegData73M
WT++London
WT++
pretrain method
Select an option
----------
Supervised
Sup. + TL
FCMAE
MAE
CL
MAP
Self-Distillation
spiking networks
Show spiking networks
Legend
Legend attribute
Select an option
Family
Pretrain Dataset
Pretrain Method
Instance Head
Instance Training Epochs
Legend attribute (second)
Select an option
----------
Pretrain Dataset
Pretrain Method
Instance Head
Instance Training Epochs
family
model
params (m)
pretrain
head
train
GFLOPs
mAP
MobileViT
MobileViT-XS
2.3
IN-1k : Sup. : 300
SSDLite
COCO (train) : 200
1.6
24.8
MobileMamba
MobileMamba-B1
17.1
IN-1k : Sup. : 300
SSDLite
COCO (train) : 600
1.7
24.0
Object Detection Results
COCO (val)
family
model
pretrain
train
gflops
mAP
b
AP
b
50
AP
b
75
mAP
b
s
mAP
b
m
mAP
b
l
MobileViT
MobileViT-XS
IN-1k : Sup. : 300
COCO (train) : 200
1.6
24.8
—
—
—
—
—
MobileViT
MobileViT-S
IN-1k : Sup. : 300
COCO (train) : 200
None
27.7
—
—
—
—
—
MobileMamba
MobileMamba-B1
IN-1k : Sup. : 300
COCO (train) : 600
1.7
24.0
39.5
24.0
3.1
23.4
46.9