6 papers
Training-Free Open-Vocabulary Visual Grounding for Remote Sensing Images and Videos
Ke Li, Di Wang, Yongshan Zhu +5
Remote sensing visual grounding (RSVG) aims to localize a referred target in a remote sensing image or video according to a natural language expression. Existing RSVG methods usual…
ProVG: Progressive Visual Grounding via Language Decoupling for Remote Sensing Imagery
Ke Li, Ting Wang, Di Wang +4
Remote sensing visual grounding (RSVG) aims to localize objects in remote sensing imagery according to natural language expressions. Previous methods typically rely on sentence-lev…
Scale-Aware Relay and Scale-Adaptive Loss for Tiny Object Detection in Aerial Images
Jinfu Li, Yuqi Huang, Hong Song +5
Recently, despite the remarkable advancements in object detection, modern detectors still struggle to detect tiny objects in aerial images. One key reason is that tiny objects carr…
RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images
Ke Li, Di Wang, Ting Wang +6
Remote sensing visual grounding (RSVG) aims to localize objects in remote sensing images based on free-form natural language expressions. Existing approaches are typically constrai…
ReWind: Understanding Long Videos with Instructed Learnable Memory
Anxhelo Diko, Tinghuai Wang, Wassim Swaileh +2
Vision-Language Models (VLMs) are crucial for applications requiring integrated understanding textual and visual information. However, existing VLMs struggle with long videos due t…
Auto robust relative radiometric normalization via latent change noise modelling
Shiqi Liu, Lu Wang, Jie Lian +9
Relative radiometric normalization(RRN) of different satellite images of the same terrain is necessary for change detection, object classification/segmentation, and map-making task…