GitHub

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images

Semantic segmentation of remote sensing images is pivotal for comprehensive Earth observation, but the demand for interpreting new object categories, coupled with the high expense of manual annotation ...
IEEE

SSDC-Grasp: A Joint Semantic Segmentation and Depth Completion Approach for Robotic Grasping of Transparent Objects

Abstract: The optical characteristics of transparent objects, specifically reflection and refraction, induce texture distortion and geometric information loss in RGB-D imagery, presenting critical ...
IEEE

Object Segmentation Based on Pseudo Supervision Relearning Under Extremely Weak Annotations for Remote Sensing Images

Abstract: Weakly annotated object segmentation for remote sensing images (RSIs) has attracted lots of attention due to its low labeling costs. However, annotating a huge amount of multiclass RSIs with ...
GitHub

ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations

@article{chiaroni2025promi, title={ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations}, author={Chiaroni, Florent and Ayub, Ali and Ahmad, Ola}, ...