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통찰 - Cross-Modality Object Detection
적외선-가시광선 융합을 통한 효과적인 객체 탐지 방법 제안 - Fusion-Mamba
서로 다른 모달리티의 특징을 효과적으로 융합하여 객체 탐지 성능을 향상시키는 Fusion-Mamba 방법을 제안한다.
Fusion-Mamba: A Novel Cross-Modality Feature Fusion Method for Robust Object Detection
The proposed Fusion-Mamba method effectively fuses features from different modalities (RGB and infrared) by associating them in a hidden state space, reducing disparities between cross-modal features and enhancing the representation consistency of fused features.