17 citations · 37 across the 5 of their papers we have counts for
5 papers
CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis
Kanglin Qu, Pan Gao, Qun Dai +3
Due to the long-range modeling ability and linear complexity property, Mamba has attracted considerable attention in point cloud analysis. Despite some interesting progress, relate…
HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning
Kanglin Qu, Pan Gao, Qun Dai +1
The attention mechanism has become a dominant operator in point cloud learning, but its quadratic complexity leads to limited inter-point interactions, hindering long-range depende…
Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
Yao Yuan, Pan Gao, Qun Dai +2
Recently, salient object detection (SOD) methods have achieved impressive performance. However, salient regions predicted by existing methods usually contain unsaturated regions an…
Unified Unsupervised Salient Object Detection via Knowledge Transfer
Yao Yuan, Wutao Liu, Pan Gao +2
Recently, unsupervised salient object detection (USOD) has gained increasing attention due to its annotation-free nature. However, current methods mainly focus on specific tasks su…
MNet: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
Yao Yuan, Pan Gao, XiaoYang Tan
Most existing salient object detection methods mostly use U-Net or feature pyramid structure, which simply aggregates feature maps of different scales, ignoring the uniqueness and…