Search Results for author:
Found 3 papers, 2 papers with code
A Prior Instruction Representation Framework for Remote Sensing Image-text Retrieval
Our highlight is the proposal of a paradigm that draws on prior knowledge to instruct adaptive learning of vision and text representations.
Ranked #4 on
Cross-Modal Retrieval
on RSICD
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
Our highlight is to conduct visual and textual representations in latent space, directing them as close as possible to a redundancy-free regional visual representation.
Ranked #5 on
Cross-Modal Retrieval
on RSITMD
Reducing Semantic Confusion: Scene-aware Aggregation Network for Remote Sensing Cross-modal Retrieval
Furthermore, as the diversity and differentiation of remote sensing scenes weaken the understanding of scenes, a new metric, namely, scene recall is proposed to measure the perception of scenes by evaluating scene-level retrieval performance, which can also verify the effectiveness of our approach in reducing semantic confusion.
Ranked #6 on
Cross-Modal Retrieval
on RSICD
