research
∙
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...
share
research
∙
07/30/2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
LiDAR point clouds, which are usually scanned by rotating LiDAR sensors ...
research
∙
07/06/2022
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
Video semantic segmentation has achieved great progress under the superv...
research
∙
03/18/2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation learns from small amounts of label...
research
∙
02/28/2022
Unsupervised Representation Learning for Point Clouds: A Survey
Point cloud data have been widely explored due to its superior accuracy ...
research
∙
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...
research
∙
07/23/2021
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Video semantic segmentation is an essential task for the analysis and un...
research
∙
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...
research
∙
06/05/2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Instance contrast for unsupervised representation learning has achieved ...
research
∙
06/05/2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
Unsupervised domain adaptation (UDA) involves a supervised loss in a lab...
research
∙
06/05/2021
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment
Contemporary domain adaptive semantic segmentation aims to address data ...
research
∙
03/24/2021
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
Recent progresses in domain adaptive semantic segmentation demonstrate t...
research
∙
03/03/2021
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
Panoptic segmentation unifies semantic segmentation and instance segment...
research
∙
03/03/2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
Domain generalization aims to learn a generalizable model from a known s...
research
∙
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 ...
research
∙
02/27/2021
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Unsupervised domain adaptive object detection aims to adapt detectors fr...
research
∙
04/07/2019
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection
Multimodal information (e.g., visible and thermal) can generate robust p...
research
∙
02/14/2019
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
Effective fusion of complementary information captured by multi-modal se...
research
∙
02/27/2018
