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SOTA
Unsupervised Domain Adaptation
Unsupervised Domain Adaptation On Cityscapes 1
Unsupervised Domain Adaptation On Cityscapes 1
Metrics
mAP@0.5
Results
Performance results of various models on this benchmark
Columns
Model Name
mAP@0.5
Paper Title
ALDI++ (ResNet50-FPN, 1024px)
66.8
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
AT (ResNet50-FPN, 1024px)
63.3
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
ALDI-YOLO (1024px)
62.5
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
MIC (ResNet50-FPN, 1024px)
61.7
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
UMT (ResNet50-FPN, 1024px)
61.4
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
PT (ResNet50-FPN, 1024px)
59.2
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
SADA (ResNet50-FPN, 1024px)
54.2
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
MRT
51.2
Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection
MIC
47.6
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
O2net
46.8
Improving Transferability for Domain Adaptive Detection Transformers
LGCL (supervised)
46.7
Improving Object Detection via Local-global Contrastive Learning
LGCL (unsupervised)
45.3
Improving Object Detection via Local-global Contrastive Learning
SAD
45.2
Self-Adversarial Disentangling for Specific Domain Adaptation
AWADA
44.8
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection
ALDI-DETR (ResNet-50, 800px)
44.8
Align and Distill: Unifying and Improving Domain Adaptive Object Detection
ILLUME
43.8
To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors
ViSGA
43.3
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
SSA-DA
42.5
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection
DDF
42.3
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
DA-RetinaNet
41.87
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites
0 of 26 row(s) selected.
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