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 بقليل من العينات
Few Shot Semantic Segmentation On Pascal 5I 5
Few Shot Semantic Segmentation On Pascal 5I 5
المقاييس
Mean IoU
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Mean IoU
Paper Title
SegGPT (ViT)
89.8
SegGPT: Segmenting Everything In Context
GF-SAM
82.6
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
PGMA-Net (ResNet-101)
78.6
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
FPTrans (DeiT-B/16)
78
Feature-Proxy Transformer for Few-Shot Segmentation
DGPNet (ResNet-101)
75.4
Dense Gaussian Processes for Few-Shot Segmentation
PGMA-Net (ResNet-50)
75.2
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
DCAMA (Swin-B)
74.9
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
PGMA-Net (ViT-B/16)
74.6
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
AENet (ResNet-50)
74.2
Eliminating Feature Ambiguity for Few-Shot Segmentation
HMNet (ResNet-50)
74.1
Hybrid Mamba for Few-Shot Segmentation
MSANet (ResNet-101)
73.99
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
FPTrans (ViT-B/16)
73.7
Feature-Proxy Transformer for Few-Shot Segmentation
DGPNet (ResNet-50)
73.5
Dense Gaussian Processes for Few-Shot Segmentation
DACM (VAT, ResNet-101)
73.3
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
SSP (ResNet-101)
73.1
Self-Support Few-Shot Semantic Segmentation
MSANet (ResNet-50)
72.6
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
MSHNet
72.3
Multi-similarity based Hyperrelation Network for few-shot segmentation
BAM (SVF, ResNet-50)
72.28
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
VAT (ResNet-101)
72
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
MIANet (VGG-16)
71.99
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
0 of 96 row(s) selected.
Previous
Next
Few Shot Semantic Segmentation On Pascal 5I 5 | SOTA | HyperAI