[1] QIAN J D, CHEN B, QIAN J Y et al. Machine vision based inspection method of Mura defect for LCD[J]. Computer Science, 45, 296-300, 313(2018).

[2] LIN G M, KONG L F, LIU T J et al. An antagonistic training algorithm for TFT-LCD module Mura defect detection[J]. Signal Processing: Image Communication, 107, 116791(2022).

[3] ZHANG C H, GAO S S, PAN X et al. Coarse to fine: weak feature boosting network for salient object detection[J]. Computer Graphics Forum, 39, 411-420(2020).

[4] DU J M, LU H Z, ZHANG L P et al. A spatial-temporal feature-based detection framework for infrared dim small target[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 3000412(2022).

[5] TAO X, ZHANG D P, HOU W et al. Industrial weak scratches inspection based on multifeature fusion network[J]. IEEE Transactions on Instrumentation and Measurement, 70, 5000514(2021).

[6] WANG X L, LIANG Z Y, LIU T. Feature attention pyramid-based remote sensing image object detection method[J]. National Remote Sensing Bulletin, 27, 492-501(2023).

[7] ZHOU W N, WU Z H, ZHANG Z D et al. Lightweight small target detection method based on weak feature enhancement[J]. Control and Decision, 39, 381-390(2024).

[8] LI D, HU J, WANG C H et al. Involution: inverting the inherence of convolution for visual recognition[C], 12316-12325(2021).

[9] YANG F, WANG T, WANG X F. Student classroom behavior detection based on YOLOv7-BRA and multi-model fusion[J/OL](2023).

[10] BIE M L, LIU Y Y, LI G N et al. Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach[J]. Expert Systems with Applications, 213, 119108(2023).

[11] ZHOU M S, TANG Q W, SHI T T et al. Rail surface crack detection algorithm based on improved YOLOv5s[J]. Chinese Journal of Liquid Crystals and Displays, 38, 666-679(2023).

[12] YANG H G, CHEN J J, XU M F. Bilinear involution neural network for image classification of fundus diseases[J]. Journal of Computer Applications, 43, 259-264(2023).

[13] AN H N, DENG W C, GUAN C et al. Small object detection algorithm based on Involution Prediction Head[J]. Application of Electronic Technique, 48, 19-23(2022).

[14] DING X H, ZHANG X Y, HAN J G et al. Scaling up your kernels to 31×31: revisiting large kernel design in CNNs[C], 11953-11965(2022).

[15] YANG H, BAI Z Y. CoT-TransUNet: lightweight context Transformer medical image segmentation network[J]. Computer Engineering and Applications, 59, 218-225(2023).

[16] WANG J Q, CHEN K, XU R et al. CARAFE++: unified content-aware ReAssembly of FEatures[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 4674-4687(2022).

[17] WANG J Q, CHEN K, XU R et al. CARAFE: content-aware ReAssembly of FEatures[C], 3007-3016(2019).

[18] ZHU L, WANG X J, KE Z H et al. BiFormer: vision transformer with Bi-level routing attention[C], 10323-10333(2023).

[19] PARK J, KIM J, KIM C S. BiFormer: learning bilateral motion estimation via bilateral transformer for 4K video frame interpolation[C], 1568-1577(2023).

[20] SYAZWANY N S, NAM J H, LEE S C. MM-BiFPN: multi-modality fusion network with Bi-FPN for MRI brain tumor segmentation[J]. IEEE Access, 9, 160708-160720(2021).

[21] TAN M X, PANG R M, LE Q V. EfficientDet: scalable and efficient object detection[C], 10778-10787(2020).

[22] LIN T Y, DOLLÁR P, GIRSHICK R et al. Feature pyramid networks for object detection[C], 936-944(2017).

[23] LIU S, QI L, QIN H F et al. Path aggregation network for instance segmentation[C], 8759-8768(2018).

[24] LI T G, ZHANG Y Z, LI Q Q et al. AB-DLM: an improved deep learning model based on attention mechanism and BiFPN for driver distraction behavior detection[J]. IEEE Access, 10, 83138-83151(2022).

[25] XIONG R B, YANG Y C, HE D et al. On layer normalization in the transformer architecture[C], 10524-10533(2020).

[26] DONG X W, HAN Y, ZHANG Z et al. Metro pedestrian detection algorithm based on multi-scale weighted feature fusion network[J]. Journal of Electronics & Information Technology, 43, 2113-2120(2021).

[27] SELVARAJU R R, COGSWELL M, DAS A et al. Grad-CAM: visual explanations from deep networks via gradient-based localization[C], 618-626(2017).