Paper reading: SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous D - Code World

Paper reading: SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous D

Enterprise 2023-06-19 18:28:54 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/qq_53086461/article/details/130323985

Paper reading: SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous D

Paper Speed Reading--SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

Patchwork++ Paper Reading - Fast and Robust Ground Segmentation Algorithm Based on 3D Point Cloud

Paper Translation - LinK3D: Linear Keypoint Representation of 3D LiDAR Point Clouds

Weakly Supervised Semantic Segmentation of Large-Scale Point Clouds

Convolutional Networks for Semantic Segmentation of Point Clouds Combining Local and Global Features

Semantic segmentation large model RSPrompter paper reading

[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

Paper reading | PointNet, a neural network that can directly process disordered 3D point clouds

Paper reading: Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation

Paper Reading - SegNeXt: Rethinking Semantic Segmentation Based on Convolutional Attention

Semantic segmentation large model SAM paper reading (2)

论文PPT——RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Few-shot 3D point cloud (Point Cloud) semantic segmentation (Semantic Segmentation)

【Paper Reproduction】——FEC: Fast Euclidean Clustering for Point Cloud Segmentation

Efficient Organized Point Cloud Segmentation with Connected Components Paper Reading

[Deep Learning] Semantic Segmentation - Paper Reading: (CVPR 2021) SETR: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspe

[Paper Reading] CASENet: Deep Category-Aware Semantic Edge Detection

3D point cloud semantic segmentation - PointNet

3D point cloud semantic segmentation—PointNet++

Interpretation of the paper--PointPillars- Fast Encoders for Object Detection from Point Clouds

Differentiable calibration of images and LiDAR point clouds

[Differentiable alignment of images and LiDAR point clouds]

[Paper reading] [ECCV 2020] PointMixup: Augmentation for Point Clouds. 2008.06374v1 [A way of data enhancement]

[Paper Reading] [ICCV 2021] RPNet: Learning Inner-Group Relations on Point Clouds

[Deep Learning] Semantic Segmentation: Paper Reading (NeurIPS 2021) MaskFormer: per-pixel classification is not all you need

[Deep Learning] Paper Reading: (ICCV-2021)) Segmenter: Transformer for Semantic Segmentation

Paper reading: PIDNet: A Real-time Semantic Segmentation Network Inspired by PIDControllers

[Paper reading] PointContrast self-supervised pre-training model semantic segmentation 2020

Paper reading "Document-level Relation Extraction as Semantic Segmentation" (2021, DocRED latest SOTA)

Recommended

Ranking

go common records

SVN power failure recovery

深入理解Redis集群主从复制原理

【二叉树】左叶子之和

[1] The first basic syntax Detailed Kotlin

Linux Ansible creates tasks and executes them

vmware ubuntu virtual machine boots online courses

Use Nodejs to crawl certain data from the web page and write the crawled data into excel (see the next article for the front-end part and the server-side part)

Principle underlying thread pool

The number of bytes occupied when char[ ] is initialized

Daily

More

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)