https://github.com/l1997i/rapid_seg
공식 코드RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
Papers with Code 아카이브
LIDAR Semantic Segmentation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ldkong1205/LaserMix
공식 코드https://github.com/ldkong1205/Robo3D
공식 코드FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
https://github.com/ldkong1205/conda
공식 코드ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
https://github.com/littlepey/taseg
공식 코드TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
https://github.com/lttm/cl-pcss
공식 코드https://github.com/mit-han-lab/spvnas
공식 코드Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/moonlabiiserb/lidar-intensity-predictor
공식 코드https://github.com/na1an/phd_mission
공식 코드Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
https://github.com/nubot-nudt/segnet4d
공식 코드SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
https://github.com/ouenal/scribblekitti
공식 코드https://github.com/pit30m/pit30m
공식 코드Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars
https://github.com/pjlab-adg/3dtrans
공식 코드SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations
https://github.com/pjlab-adg/pcseg
공식 코드UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
https://github.com/placeforyiming/iros21-fidnet-semantickitti
공식 코드FIDNet: LiDAR Point Cloud Semantic Segmentation with Fully Interpolation Decoding
https://github.com/pointcept/pointtransformerv3
공식 코드https://github.com/romainloiseau/Helix4D
공식 코드Online Segmentation of LiDAR Sequences: Dataset and Algorithm
https://github.com/saltoricristiano/cosmix-uda
공식 코드CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation
https://github.com/saltoricristiano/lidog
공식 코드Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
https://github.com/skyshoumeng/pc-bev
공식 코드PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation
https://github.com/songw-zju/Meta-RangeSeg
공식 코드Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation
https://github.com/tensorflow/tensor2tensor
공식 코드https://github.com/unmannedlab/lidar-reflectivity-segmentation
공식 코드Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
https://github.com/valeoai/FKAConv
공식 코드FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
https://github.com/valeoai/waffleiron
공식 코드Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation
https://github.com/vpulab/synthmanticlidar
공식 코드SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
https://github.com/weiliu89/caffe
공식 코드https://github.com/xiangxu-0103/lima
공식 코드https://github.com/xiaoaoran/polarmix
공식 코드PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
https://github.com/xinge008/Cylinder3D
공식 코드Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
https://github.com/yanx27/2dpass
공식 코드2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
https://github.com/yanx27/JS3C-Net
공식 코드https://github.com/ywyeli/place3d
공식 코드Is Your LiDAR Placement Optimized for 3D Scene Understanding?
https://github.com/yyliu01/it2
공식 코드ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
https://github.com/zhangyp15/occformer
공식 코드OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
https://github.com/04RR/SOTA-Vision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.