HyperAI
HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
语义分割
Semantic Segmentation On S3Dis Area5
Semantic Segmentation On S3Dis Area5
评估指标
Number of params
mAcc
mIoU
oAcc
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Number of params
mAcc
mIoU
oAcc
Paper Title
Repository
SPoTr
N/A
76.4
70.8
90.7
Self-positioning Point-based Transformer for Point Cloud Understanding
-
PointVector-XL
-
78.1
72.3
91
PointVector: A Vector Representation In Point Cloud Analysis
-
DITR
-
-
74.1
-
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
-
KPConv
14.1M
72.8
67.1
-
KPConv: Flexible and Deformable Convolution for Point Clouds
-
PointMixer
6.5M
77.4
71.4
-
PointMixer: MLP-Mixer for Point Cloud Understanding
-
TangentConv
N/A
62.2
-
-
Tangent Convolutions for Dense Prediction in 3D
-
SSP+SPG
290K
68.2
61.7
87.9
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
-
DPC
N/A
-
61.28
-
Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds
-
HPEIN
N/A
68.3
61.85
87.18
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
-
SegCloud
N/A
57.4
48.9
-
SEGCloud: Semantic Segmentation of 3D Point Clouds
-
WindowNorm+PointTransformer
N/A
77.9
71.4
91.1
Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities
-
SuperCluster
0.21
-
68.1
-
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering
-
Swin3D-L
N/A
80.5
74.5
92.7
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding
-
PointNet
N/A
-
41.1
-
Point Transformer
-
SPG(PTv2)
-
79.5
73.3
91.9
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
-
Pamba
-
-
73.5
-
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model
-
ConDaFormer
-
78.9
73.5
92.4
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
-
Serialized Piont Mamba
-
-
70.6
-
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model
-
SCF-Net
N/A
71.8
63.7
87.2
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
Superpoint Transformer
212K
77.3
68.9
89.5
Efficient 3D Semantic Segmentation with Superpoint Transformer
-
0 of 60 row(s) selected.
Previous
Next