ImageNet
Top 1 Accuracy
ResNet-50 (LIP Bottleneck-256)
Image Classification
78.15
ImageNet
Top 5 Accuracy
ResNet-50 (LIP Bottleneck-256)
Image Classification
94.02
ImageNet
Number of params
ResNet-50 (LIP Bottleneck-256)
Image Classification
25.8M
ImageNet
Top 1 Accuracy
LIP-ResNet-101
Image Classification
79.33
ImageNet
Top 5 Accuracy
LIP-ResNet-101
Image Classification
94.6
ImageNet
Number of params
LIP-ResNet-101
Image Classification
42.9M
ImageNet
Top 1 Accuracy
LIP-DenseNet-BC-121
Image Classification
76.64
ImageNet
Top 5 Accuracy
LIP-DenseNet-BC-121
Image Classification
93.16
ImageNet
Number of params
LIP-DenseNet-BC-121
Image Classification
8.7M
COCO minival
box AP
Faster R-CNN (LIP-ResNet-101)
Object Detection
41.7
COCO minival
AP50
Faster R-CNN (LIP-ResNet-101)
Object Detection
63.6
COCO minival
AP75
Faster R-CNN (LIP-ResNet-101)
Object Detection
45.6
COCO minival
APS
Faster R-CNN (LIP-ResNet-101)
Object Detection
25.2
COCO minival
APM
Faster R-CNN (LIP-ResNet-101)
Object Detection
45.8
COCO test-dev
box AP
Faster R-CNN (LIP-ResNet-101-MD w FPN)
Object Detection
43.9
COCO test-dev
AP50
Faster R-CNN (LIP-ResNet-101-MD w FPN)
Object Detection
65.7
COCO test-dev
AP75
Faster R-CNN (LIP-ResNet-101-MD w FPN)
Object Detection
48.1
COCO test-dev
APS
Faster R-CNN (LIP-ResNet-101-MD w FPN)
Object Detection
25.4
COCO test-dev
APM
Faster R-CNN (LIP-ResNet-101-MD w FPN)
Object Detection
46.7
COCO test-dev
APL
Faster R-CNN (LIP-ResNet-101-MD w FPN)
Object Detection
56.3