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ResearchFormerly WizWand

Object Detection on COCO standard 5% labeled 2017 (train)

34.45mAPARSL
17.830822.145426.4630.7746Jun 19, 2022Aug 4, 2022Sep 20, 2022Nov 6, 2022Dec 23, 2022Feb 8, 2023Mar 27, 2023
Updated 8mo ago

Evaluation results

MethodLinks
ARSLDetector=FCOS, Backbone=ResNet-50, patch-shuffle=true, large-scale jittering=true2023.0334.45
ARSLDetector=RetinaNet, Backbone=ResNet-50, patch-shuffle=true, large-scale jittering=true2023.0334.3
ARSLDetector=FCOS, Backbone=ResNet-502023.0333.14
PseCoDetector=Faster RCNN, Backbone=ResNet-502023.0332.5
Listen2StudentBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/402022.0632.05
Listen2StudentBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=32/322022.0631.85
DSLDetector=FCOS, Backbone=ResNet-50, patch-shuffle=true2023.0330.87
Dense TeacherDetector=FCOS, Backbone=ResNet-502023.0330.83
SoftTeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/402022.0630.74
Soft TeacherDetector=Faster RCNN, Backbone=ResNet-50, large-scale jittering=true2023.0330.74
Unbiased Teacher V2Detector=FCOS, Backbone=ResNet-502023.0330.08
Active TeacherDetector=Faster RCNN, Backbone=ResNet-502023.0330.07
Listen2StudentBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0630.06
Unbiased Teacher V2Detector=Faster RCNN, Backbone=ResNet-502023.0330.06
Unbiased TeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=32/322022.0628.27
Unbiased TeacherDetector=Faster RCNN, Backbone=ResNet-502023.0328.27
Humble TeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0627.7
Humble TeacherDetector=Faster RCNN, Backbone=ResNet-502023.0327.7
Instant TeachingBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0626.75
Unbiased TeacherBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0626.65
ISMTBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0626.37
ISMTDetector=Faster RCNN, Backbone=ResNet-502023.0326.37
STACBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0624.38
STACDetector=Faster RCNN, Backbone=ResNet-502023.0324.38
Faster RCNNDetector=Faster RCNN, Supervision=Supervised, Backbone=ResNet-502023.0320.82
FCOSDetector=FCOS, Supervision=Supervised, Backbone=ResNet-502023.0320.69
CSDBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based, Batch Size (labeled/unlabeled)=8/82022.0618.63
SupervisedBackbone=FasterRCNN-ResNet50, Detector Type=Anchor-based2022.0618.47