HyperAI
الرئيسية
الأخبار
أحدث الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
الرئيسية
SOTA
Few Shot Image Segmentation
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
Repository
HDMNet (ResNet-50)
71.8
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
APANet (VGG-16)
62.6
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
-
PFENet (SVF, VGG-16)
69.8
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning
MSHNet
72.3
Multi-similarity based Hyperrelation Network for few-shot segmentation
FECANet (VGG-16)
66.7
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network
ASGNet (ResNet-101)
64.36
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
PFENet (ResNet-101)
61.4
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
MSDNet (ResNet-50)
68.7
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
PANet (VGG-16)
55.7
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
-
DCAMA (ResNet-50)
68.5
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
DACM (VAT, ResNet-50)
71.7
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
SSP (ResNet-101)
73.1
Self-Support Few-Shot Semantic Segmentation
MIANet (ResNet-50)
71.59
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
-
SCCAN (ResNet-101)
71.5
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
RePRI (ResNet-50)
66.6
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
MSANet (ResNet-101)
73.99
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
MLC (ResNet-50)
66.8
Mining Latent Classes for Few-shot Segmentation
PFENet (SCL, ResNet-50)
62.9
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
PGNet (ResNet-50)
58.5
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation
-
MCE (ResNet-50)
70.03
Masked Cross-image Encoding for Few-shot Segmentation
-
0 of 96 row(s) selected.
Previous
Next