The author proposes the DAMS-DETR model to address challenges in infrared-visible object detection by dynamically selecting modality features and adaptively fusing complementary information.
Introducing a novel approach, Find n’ Propagate, to enhance open-vocabulary 3D object detection in urban environments.
Proposing a deep learning approach for identifying co-occurring objects with base objects in multilabel categories.