HyperAI
HyperAI
الرئيسية
الأخبار
الأوراق البحثية
الدروس
مجموعات البيانات
الموسوعة
SOTA
نماذج LLM
لوحة الأداء GPU
الفعاليات
البحث
حول
العربية
HyperAI
HyperAI
Toggle sidebar
البحث في الموقع...
⌘
K
البحث في الموقع...
⌘
K
الرئيسية
SOTA
التمييز الدلالي
Semantic Segmentation On Cityscapes
Semantic Segmentation On Cityscapes
المقاييس
Mean IoU (class)
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Mean IoU (class)
Paper Title
Repository
ESANet-R34-NBt1D
80.09%
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
-
ESNet
70.7%
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
-
ResNeSt200 (Mapillary)
83.3%
ResNeSt: Split-Attention Networks
-
DUC-HDC (ResNet-101)
77.6%
Understanding Convolution for Semantic Segmentation
-
LightSeg-DarkNet19
70.75%
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
-
AdapNet++
81.24%
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
-
HRNetV2 + OCR (w/ ASP)
83.7%
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation
-
ShelfNet-34
79.0%
ShelfNet for Fast Semantic Segmentation
-
DeepLabv3 (ResNet-101, coarse)
81.3%
Rethinking Atrous Convolution for Semantic Image Segmentation
-
InternImage-H
86.1%
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
-
SqueezeNAS (LAT Large)
72.5%
SqueezeNAS: Fast neural architecture search for faster semantic segmentation
-
OCNet
81.7%
OCNet: Object Context Network for Scene Parsing
-
MRFM(coarse)
83.0%
Multi Receptive Field Network for Semantic Segmentation
-
LiteSeg-MobileNet
67.81%
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
-
HRNetV2 (train+val)
81.6%
Deep High-Resolution Representation Learning for Visual Recognition
-
ESPNetv2
66.2%
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
-
LightSeg-MobileNet
67.81%
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
-
DPN
66.8%
Semantic Image Segmentation via Deep Parsing Network
-
SPNet (ResNet-101)
82.0%
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
-
HRNet (HRNetV2-W48)
81.6%
High-Resolution Representations for Labeling Pixels and Regions
0 of 105 row(s) selected.
Previous
Next