4 accepted papers
Unmanned Aerial Vehicle (UAV) Vision-and-Language Navigation (VLN) is vital for applications such as disaster response, logistics delivery, and urban inspection. However, existing methods often struggle with insufficient multimodal fusion, weak generalization, and poor interpretability. To address t
The adaptation research of SAM in the field of medical image mainly adopts two types of methods: parameter fine-tuning and prompt engineering, but these methods face two main issues: (1)Parameter fine-tuning methods have limitations in focusing the model encoder’s attention on the foreground of medi…
In the field of dexterous robotic manipulation, integrating visual and tactile modalities to inform manipulation policies presents significant challenges, especially in non-contact scenarios where reliance on tactile perception can be inadequate. Visual affordance techniques currently offer effectiv
The in-memory algorithms for approximate nearest neighbor search (ANNS) have achieved great success for fast high-recall search, but are extremely expensive when handling very large scale database. Thus, there is an increasing request for the hybrid ANNS solutions with small memory and inexpensive s…