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05/31/2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
In the past decade, deep neural networks have achieved significant progr...
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04/03/2023
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Robust point cloud parsing under all-weather conditions is crucial to le...
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03/11/2023
FAC: 3D Representation Learning via Foreground Aware Feature Contrast
Contrastive learning has recently demonstrated great potential for unsup...
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07/30/2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
LiDAR point clouds, which are usually scanned by rotating LiDAR sensors ...
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03/18/2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation learns from small amounts of label...
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02/28/2022
Unsupervised Representation Learning for Point Clouds: A Survey
Point cloud data have been widely explored due to its superior accuracy ...
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10/07/2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Unsupervised domain adaptation aims to align a labeled source domain and...
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07/23/2021
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Video semantic segmentation is an essential task for the analysis and un...
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07/12/2021
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation
Transfer learning from synthetic to real data has been proved an effecti...
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07/07/2021
Bi-level Feature Alignment for Versatile Image Translation and Manipulation
Generative adversarial networks (GANs) have achieved great success in im...
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06/05/2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Instance contrast for unsupervised representation learning has achieved ...
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06/05/2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
Unsupervised domain adaptation (UDA) involves a supervised loss in a lab...
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06/05/2021
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment
Contemporary domain adaptive semantic segmentation aims to address data ...
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03/24/2021
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
Recent progresses in domain adaptive semantic segmentation demonstrate t...
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03/03/2021
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
Panoptic segmentation unifies semantic segmentation and instance segment...
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03/03/2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
Domain generalization aims to learn a generalizable model from a known s...
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03/01/2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
Scene understanding based on LiDAR point cloud is an essential task for ...
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02/27/2021
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Unsupervised domain adaptive object detection aims to adapt detectors fr...
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11/26/2019