[2] [2] DAI Y, WU Y, ZHOU F, et al. Asymmetric contextual modulation for infrared small target detection[C]//2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021: 949-958.

[3] [3] DAI Y, WU Y, ZHOU F, et al. Attentional local contrast networks for infrared small target detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9813-9824.

[4] [4] LI B, XIAO C, WANG L, et al. Dense nested attention network for infrared small target detection[J]. IEEE Transactions on Image Processing, 2023, 32: 1745-1758.

[5] [5] SUN H, BAI J, YANG F, et al. Receptive-field and direction induced attention network for infrared dim small target detection with a large-scale dataset IRDST[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-13.

[6] [6] HOU Q, ZHANG L, TAN F, et al. ISTDU-Net: infrared small-target detection U-Net[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.

[7] [7] WU X, HONG D, Chanussot J. UIU-Net: U-Net in U-Net for infrared small object detection[J]. IEEE Transactions on Image Processing, 2023, 32: 364-376.

[10] [10] XIE E, WANG W, YU Z, et al. SegFormer: simple and efficient design for semantic segmentation with transformers[C]//Advances in Neural Information Processing Systems, 2021: 12077-12090.

[11] [11] ZHANG K, ZHANG Z, LI Z, et al. Joint face detection and alignment using multitask cascaded convolutional networks[J]. IEEE Signal Processing Letters, 2016, 23(10): 1499-1503.

[12] [12] Howard A, Sandler M, CHEN B, et al. Searching for MobileNetV3[C]//2019 IEEE/CVF International Conference on Computer Vision (ICCV). 2019: 1314-1324.

[13] [13] Lavin A, Gray S. Fast algorithms for convolutional neural networks[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016: 4013-4021.

[14] [14] Jeong E, Kim J, Ha S. TensorRT-Based framework and optimization methodology for deep learning inference on jetson boards[J]. ACM Transactions on Embedded Computing Systems, 2022, 21(5): 1-26.