From the 1 of 7 linked papers with an AI index.
7 papers
SAP-Nav: Spatial Semantic Representation Meets Active Perception for Hierarchical Open-Vocabulary Object Navigation
Xuetong Pei, Jian Liu, Vidura Munasinghe +4
Hierarchical open-vocabulary object navigation (OVON) requires agents to follow free-form instructions that may specify targets through scene-, room-, region-, and instance-level c…
Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection
Peisheng Qian, Jie Xu, Xulei Yang +1
The paper proposes a Learning‑Dynamics‑driven Memory and Review (LDMR) framework to reduce forgetting in long‑incremental 3D object detection by monitoring per‑class detection qual…
PanDA: Unsupervised Domain Adaptation for Multimodal 3D Panoptic Segmentation in Autonomous Driving
Yining Pan, Shijie Li, Yuchen Wu +2
This paper presents the first study on Unsupervised Domain Adaptation (UDA) for multimodal 3D panoptic segmentation (mm-3DPS), aiming to improve generalization under domain shifts…
Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments
Yun Zhu, Jianjun Qian, Jian Yang +2
Incremental 3D object perception is a critical step toward embodied intelligence in dynamic indoor environments. However, existing incremental 3D detection methods rely on extensiv…
SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
Vishal Thengane, Zhaochong An, Tianjin Huang +5
Incremental Few-Shot (IFS) segmentation aims to learn new categories over time from only a few annotations. Although widely studied in 2D, it remains underexplored for 3D point clo…
Dual-supervised Asymmetric Co-training for Semi-supervised Medical Domain Generalization
Jincai Song, Haipeng Chen, Jun Qin +1
Semi-supervised domain generalization (SSDG) in medical image segmentation offers a promising solution for generalizing to unseen domains during testing, addressing domain shift ch…