research
∙
08/06/2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Although extensive research has been conducted on 3D point cloud segment...
share
research
∙
06/27/2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract
Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...
research
∙
05/23/2023
Decoupled Kullback-Leibler Divergence Loss
In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence...
research
∙
03/26/2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
Few-shot semantic segmentation (FSS) aims to form class-agnostic models ...
research
∙
03/21/2023
Learning Context-aware Classifier for Semantic Segmentation
Semantic segmentation is still a challenging task for parsing diverse co...
research
∙
09/28/2022
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
3D scenes are dominated by a large number of background points, which is...
research
∙
09/26/2022
Generalized Parametric Contrastive Learning
In this paper, we propose the Generalized Parametric Contrastive Learnin...
research
∙
09/21/2022
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions
Over the past few years, the rapid development of deep learning technolo...
research
∙
07/20/2022
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptation in semantic segmentation has been raised ...
research
∙
03/02/2022
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment
We revisit the one- and two-stage detector distillation tasks and presen...
research
∙
10/15/2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Rapid progress in 3D semantic segmentation is inseparable from the advan...
research
∙
09/28/2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
In this work, we revisit the prior mask guidance proposed in "Prior Guid...
research
∙
06/27/2021
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Semantic segmentation has made tremendous progress in recent years. Howe...
research
∙
01/26/2021
ResLT: Residual Learning for Long-tailed Recognition
Deep learning algorithms face great challenges with long-tailed data dis...
research
∙
10/11/2020
Generalized Few-Shot Semantic Segmentation
Training semantic segmentation models requires a large amount of finely ...
research
∙
08/04/2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
State-of-the-art semantic segmentation methods require sufficient labele...
research
∙
06/27/2019