Contrastive self-supervised learning has outperformed supervised pretraining on many downstream tasks like segmentation and object detection. However, current methods are still primarily applied to ...

Remote-sensing image–text retrieval (RSITR) has attracted widespread attention due to its great potential for rapid information mining ability on remote-sensing images. Although significant progress ...

Few-shot object detection (FSOD) has attracted significant research attention in remote sensing due to its potential to reduce reliance on large annotated datasets. However, two challenges remain in ...

Engineering Applications of Artificial Intelligence (2024). [3] End-to-End Learning of Deep Visual Representations for Image Retrieval. International Journal of Computer Vision (2017).

Key Contributions Multimodal Retrieval Framework: We propose and evaluate two model architectures that jointly embed floorplan images and textual instructions to perform intent-driven retrieval.