Semi Supervised Semantic Segmentation
반감독 학습 기반 의미 분할은 컴퓨터 비전 분야에서 소량의 라벨링된 데이터와 대량의 비라벨링된 데이터를 사용하여 이미지의 각 픽셀을 분류하는 모델을 훈련시키는 작업입니다. 이 방법은 비라벨링된 데이터를 효과적으로 활용하여 모델의 일반화 능력과 분할 정확도를 향상시키고, 주석 비용을 줄이며 실제 시나리오에서의 모델 활용 가치를 높입니다.
2017 Robotic Instrument Segmentation Challenge
MMS (20% Labeled)
2D-3D-S
M3L (Linear Fusion B2)
ADE20K 1/16 labeled
UniMatch V2
ADE20K 1/32 labeled
Cityscapes 10% labeled
IM++ (416x208, 2.7m parameters, no pretraining)
Cityscapes 100 samples labeled
SemiSegContrast (DeepLab v3+ with ResNet-50 backbone, MSCOCO pretrained)
Cityscapes 12.5% labeled
CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference)
Cityscapes 2% labeled
Cityscapes 25% labeled
UniMatch (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference)
Cityscapes 5% labeled
Cityscapes 50% labeled
ClassMix (DeepLab v2 MSCOCO pretrained)
Cityscapes 6.25% labeled
Cityscapes 93 labeled
AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)
Cityscapes with extra (no coarse labels)
Dense FixMatch (DeepLabv3+ ResNet-101, over-sampling, single pass eval)
COCO 1/128 labeled
COCO 1/256 labeled
COCO 1/32 labeled
COCO 1/512 labeled
SemiVL
COCO 1/64 labeled
KiTS19
Kvasir-Instrument
MMS(20% labeled)
nuScenes
PLE (Voxel)
PASCAL Context 12.5% labeled
GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained)
PASCAL Context 25% labeled
GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained)
Pascal VOC 2012 1% labeled
ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pre-trained)
PASCAL VOC 2012 1000 labels
GuidedMix-Net(DeepLab v2 with ResNet50, ImageNet pretrained)
Pascal VOC 2012 12.5% labeled
AllSpark
PASCAL VOC 2012 1464 labels
PASCAL VOC 2012 183 labeled
Pascal VOC 2012 2% labeled
ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained)
PASCAL VOC 2012 25% labeled
Dual Teacher
PASCAL VOC 2012 331 labeled
AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)
PASCAL VOC 2012 366 labeled
SemiVL (ViT-B/16)
Pascal VOC 2012 5% labeled
ReCo (DeepLab v3+ with ResNet-101 backbone, ImageNet pretrained)
PASCAL VOC 2012 50%
S4MC
Pascal VOC 2012 50% labeled
AllSpark
PASCAL VOC 2012 500 labels
GuidedMix-Net(DeepLab v2 with ResNet50, ImageNet pretrained)
Pascal VOC 2012 6.25% labeled
PASCAL VOC 2012 732 labeled
SemiVL (ViT-B/16)
PASCAL VOC 2012 92 labeled
ScribbleKITTI
LaserMix (Voxel)
SemanticKITTI
Stanford 2D-3D
SUIM
WoodScape
FishSegSSL