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Unsupervised Domain Adaptation On Cityscapes 1

评估指标

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评测结果

各个模型在此基准测试上的表现结果

模型名称
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Paper TitleRepository
SCDA33.8Adapting Object Detectors via Selective Cross-Domain Alignment
SAPNet40.9Spatial Attention Pyramid Network for Unsupervised Domain Adaptation-
UMT (ResNet50-FPN, 1024px)61.4Align and Distill: Unifying and Improving Domain Adaptive Object Detection-
DDMRL34.6Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection-
DDF42.3Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement-
ViSGA43.3Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection-
PT (ResNet50-FPN, 1024px)59.2Align and Distill: Unifying and Improving Domain Adaptive Object Detection-
AWADA44.8AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection-
MCAR38.8Adaptive Object Detection with Dual Multi-Label Prediction-
O2net46.8Improving Transferability for Domain Adaptive Detection Transformers-
DA-RetinaNet41.87An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites-
SWDA34.8Strong-Weak Distribution Alignment for Adaptive Object Detection-
SADA (ResNet50-FPN, 1024px)54.2Align and Distill: Unifying and Improving Domain Adaptive Object Detection-
ALDI-DETR (ResNet-50, 800px)44.8Align and Distill: Unifying and Improving Domain Adaptive Object Detection-
ILLUME43.8To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors
ALDI-YOLO (1024px)62.5Align and Distill: Unifying and Improving Domain Adaptive Object Detection-
SAD45.2Self-Adversarial Disentangling for Specific Domain Adaptation-
LGCL (unsupervised)45.3Improving Object Detection via Local-global Contrastive Learning-
AT (ResNet50-FPN, 1024px)63.3Align and Distill: Unifying and Improving Domain Adaptive Object Detection-
SSA-DA42.5Bi-Dimensional Feature Alignment for Cross-Domain Object Detection-
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Unsupervised Domain Adaptation On Cityscapes 1 | SOTA | HyperAI超神经