5 papers
Semantic-decoupled Spatial Partition Guided Point-supervised Oriented Object Detection
Xinyuan Liu, Hang Xu, Zirui Chen +3
Given its ability to reduce annotation costs, weakly supervised learning based on single-point annotations has emerged as a research focus in oriented object detection. Compared wi…
TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding
Jingbin You, Zehao Li, Hao Jiang +8
3D Gaussian Splatting (3DGS) has emerged as a real-time, differentiable representation for neural scene understanding. However, existing 3DGS-based methods struggle to represent hi…
TEA: Temporal Adaptive Satellite Image Semantic Segmentation
Juyuan Kang, Hao Zhu, Yan Zhu +6
Crop mapping based on satellite images time-series (SITS) holds substantial economic value in agricultural production settings, in which parcel segmentation is an essential step. E…
TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
Yanping Fu, Xinyuan Liu, Tianyu Li +3
Topology reasoning, which unifies perception and structured reasoning, plays a vital role in understanding intersections for autonomous driving. However, its performance heavily re…
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
Hao Zhu, Yan Zhu, Jiayu Xiao +4
Automated crop mapping through Satellite Image Time Series (SITS) has emerged as a crucial avenue for agricultural monitoring and management. However, due to the low resolution and…