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03/28/2023
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network
3D point cloud semantic segmentation aims to group all points into diffe...
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03/14/2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Designing a point cloud upsampler, which aims to generate a clean and de...
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11/27/2022
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Few-shot segmentation (FSS) expects models trained on base classes to wo...
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08/22/2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
Multi-label image classification aims to predict all possible labels in ...
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07/04/2022
CRFormer: A Cross-Region Transformer for Shadow Removal
Aiming to restore the original intensity of shadow regions in an image a...
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12/09/2021
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
In this paper, we tackle the problem of one-shot unsupervised domain ada...
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11/22/2021
ATLANTIS: A Benchmark for Semantic Segmentation of Waterbody Images
Vision-based semantic segmentation of waterbodies and nearby related obj...
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04/22/2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
Semantic segmentation of nighttime images plays an equally important rol...
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03/24/2021