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opt-rsvg's Introduction

Advancing Visual Grounding in Remote Sensing by Language-Guided Progressive Attention

This is the offical PyTorch code for paper "Advancing Visual Grounding in Remote Sensing by Language-Guided Progressive Attention"
The code of our method will be open source after the paper is published.

OPT-RSVG Dataset

The dataset contains 25452 RS images and 48952 image-query pairs, with expressions provided in both Chinese and English versions. OPT-RSVG Dataset

Ttraining, validation and test samples for OPT-RSVG

Class Name Training Validation Test
C01: airplane 979 230 1142
C02: ground track field 1600 365 2066
C03: tennis court 1093 284 1313
C04: bridge 1699 452 2212
C05: basketball court 1036 263 1385
C06: storage tank 1050 271 1264
C07: ship 1084 243 1241
C08: baseball diamond 1477 361 1744
C09: T junction 1663 425 2055
C10: crossroad 1670 405 2088
C11: parking lot 1049 268 1368
C12: harbor 758 209 953
C13: vehicle 3294 811 4083
C14: swimming pool 1128 308 1563
Total 19580 4895 24477

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