HyperAI
HyperAI
الرئيسية
المنصة
الوثائق
الأخبار
الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
شروط الخدمة
سياسة الخصوصية
العربية
HyperAI
HyperAI
Toggle Sidebar
البحث في الموقع...
⌘
K
Command Palette
Search for a command to run...
المنصة
الرئيسية
SOTA
التمييز_الدلالي_شبه_المشرف
Semi Supervised Semantic Segmentation On 9
Semi Supervised Semantic Segmentation On 9
المقاييس
Validation mIoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Validation mIoU
Paper Title
Dual Teacher
81.03
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
AllSpark
80.92
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
CorrMatch (Deeplabv3+ with ResNet-101)
80.9
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
PrevMatch (ResNet-101)
80.8
Revisiting and Maximizing Temporal Knowledge in Semi-supervised Semantic Segmentation
PCR (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)
80.78
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
UniMatch (DeepLab v3+ with ResNet-101)
80.43
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
S4MC
79.85
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix)
79.3
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
n-CPS (ResNet-101)
78.97
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation
PS-MT (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference)
78.72
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
AEL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K)
78.06
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
GuidedMix-Net(DeepLab v2 with ResNet101, input-size: 512x512 with multi-scale and flip, ImageNet pretrained)
77.8%
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference)
77.68%
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
CPCL (DeepLab v3+ with ResNet-101)
77.16
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Error Localization Network (DeeplabV3 with ResNet-101)
76.58%
Semi-supervised Semantic Segmentation with Error Localization Network
PCT (DeepLab v3+ with ResNet-50 pretrained on ImageNet-1K)
76.47
Learning Pseudo Labels for Semi-and-Weakly Supervised Semantic Segmentation
CW-BASS (DeepLab v3+ with ResNet-50)
76.2
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
n-CPS (ResNet-50)
75.85
n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation
GuidedMix-Net(DeepLab v2 with ResNet101, ImageNet pretrained)
75.5%
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
Error Localization Network (DeeplabV3 with ResNet-50)
74.63%
Semi-supervised Semantic Segmentation with Error Localization Network
0 of 24 row(s) selected.
Previous
Next