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NNNNerd / Triple-I-Net-TINet

Official code for "Illumination-guided RGBT Object Detection with Inter- and Intra-modality Fusion"
Apache License 2.0
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Triple-I Net (TINet)

Official code for "Illumination-guided RGBT Object Detection with Inter- and Intra-modality Fusion"

The structure of TINet

Installation

Please refer to https://github.com/open-mmlab/mmdetection/tree/2.x

Results

Below is the ablation study for our TINet on FLIR-aligned (the training and testing splits follow the official splits). Note that in our paper the results are given by a different train/test data distribution. If you intend to include our results, please make sure that the data distribution is aligned.

IGFW Inter-MA Intra-MA AP50 mAP
75.19 35.88
√ 74.94 36.41
√ 75.00 36.21
√ 74.96 36.07
√ √ 75.27 36.70
√ √ 75.42 36.61
√ √ 75.32 36.06
√ √ √ 76.07 36.54

Citation

@ARTICLE{tinet,
  author={Zhang, Yan and Yu, Huai and He, Yujie and Wang, Xinya and Yang, Wen},
  journal={IEEE Transactions on Instrumentation and Measurement}, 
  title={Illumination-Guided RGBT Object Detection With Inter- and Intra-Modality Fusion}, 
  year={2023},
  volume={72},
  number={},
  pages={1-13},
  doi={10.1109/TIM.2023.3251414}}