Robot Navigation Guardian solution RoboNavGuard is an innovative hybrid system to assist indoor mobile robots in enhancing their visual grounding navigation accuracy through the utilization of the grid map.
PyraBiNet is an innovative hybrid model optimized for lightweight semantic segmentation tasks. This model ingeniously merges the merits of Convolutional Neural Networks (CNNs) and Transformers. For details, see the PyraBiNet++ directory
Re_3DVG-Small proposes a method for fragmented point cloud scenarios. Utilizing instance segmentation and transformer models, our approach offers a potent mechanism for establishing robust correspondences between text queries and object instances within the shared visible range. For details, see the Re_3DVG-Small directory
We appreciate the open-source of the following projects: MVT-3DVG , OFA, UNINEXT, GroundingDINO, ScanRefer, EDA, Mask_RCNN, PVT, and ScanNet.