Before revision:  Through extensive experimentation, we show that the proposed strategies out-perform the existing state-of-the-art methods on the FLIR-Thermal dataset, improving the mAP up-to 25.2\%. We also propose a new "r-blended" hybrid depth modality for RGB-D multi-modal detection tasks. Our proposed method also obtained promising results on the SUNRGB-D dataset.
After revision:  Through extensive experimentation, we show that the proposed strategies out-perform the existing state-of-the-art methods on the FLIR-Thermal dataset, obtain promising results on the SUNRGB-D dataset.