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الرئيسية
SOTA
التمييز الدلالي
Semantic Segmentation On Lip Val
Semantic Segmentation On Lip Val
المقاييس
mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
mIoU
Paper Title
Repository
MuLA (ResNet-101)
49.30%
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
-
HRNetV2 (HRNetV2-W48)
55.90%
High-Resolution Representations for Labeling Pixels and Regions
-
HRNetV2 + OCR + RMI (PaddleClas pretrained)
58.2%
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
-
Attention+SSL (ResNet-101)
44.73%
Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
-
Hulk(Finetune, ViT-B)
63.98%
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
-
OCR (ResNet-101)
55.6%
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
-
JPPNet (ResNet-101)
51.37%
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
-
UniHCP (finetune)
63.86%
UniHCP: A Unified Model for Human-Centric Perceptions
-
MMAN (ResNet-101)
46.81%
Macro-Micro Adversarial Network for Human Parsing
-
CE2P (ResNet-101)
53.10%
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
-
OCR (HRNetV2-W48)
56.65%
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
-
SOLIDER
60.50%
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
-
Hulk(Finetune, ViT-L)
66.02%
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
-
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