Papers with Code 아카이브
Robust 3D Semantic Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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3D Semantic Segmentation under Out-of-Distribution Scenarios
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
KPConv: Flexible and Deformable Convolution for Point Clouds
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.