From the 1 of 15 linked papers with an AI index.
15 papers
Satellite-Free Training for Drone-View Geo-Localization
Tao Liu, Yingzhi Zhang, Kan Ren +1
The paper introduces a training framework that enables drone-view geo-localization without using any satellite images, by reconstructing 3D scenes from multi‑view drone footage, ge…
Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metrics
Youwei Pang, Xiaoqi Zhao
Evaluation metrics are central to binary target segmentation because they determine how progress is measured, compared, and interpreted. In this paper, target denotes the task-defi…
Power Battery Detection
Xiaoqi Zhao, Peiqian Cao, Chenyang Yu +10
Power batteries are essential components in electric vehicles, where internal structural defects can pose serious safety risks. We conduct a comprehensive study on a new task, powe…
DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance
Qiangqiang Zhou, Jiawei Xu, Yong Chen +3
In many binary segmentation tasks, most multimodal methods rely on fixed feature concatenation for cross-modal interaction and straightforward decoder designs dominated by low-freq…
ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning
Yuan Zhao, Youwei Pang, Jiaming Zuo +10
Recent progress in promptable segmentation has shifted visual perception from object-level localization toward concept-level understanding. However, the notion of a concept remains…
SAM3-I: Segment Anything with Instructions
Jingjing Li, Yue Feng, Yuchen Guo +10
Segment Anything Model 3 (SAM3) advances open-vocabulary segmentation through promptable concept segmentation, enabling users to segment all instances associated with a given conce…