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ResearchFormerly WizWand

Object Detection on COCO-standard 10% labeled 2017 (train)

35.08mAPListen2Student
21.955225.362628.7732.1774Jun 19, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Listen2StudentBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=32/322022.0635.08
Listen2StudentBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/402022.0635.02
SoftTeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/402022.0634.04
Listen2StudentBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0633.5
Humble TeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0631.61
Unbiased TeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=32/322022.0631.5
ISMTBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0630.53
Instant TeachingBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0630.4
Unbiased TeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0629.56
STACBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0628.64
SupervisedBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based2022.0623.86
CSDBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0622.46