[1] GIRSHICK R, DONAHUE J, DARRELL T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

[2] REDMON J, DIVVALA S, GIRSHICK R et al. You only look once: unified, real-time object detection[C], 779-788(2016).

[3] LIU W, ANGUELOV D, ERHAN D et al. SSD: single shot multibox detector[C], 21-37(2016).

[4] LORE K G, AKINTAYO A, SARKAR S. LLNet: a deep autoencoder approach to natural low-light image enhancement[J]. Pattern Recognition, 61, 650-662(2017).

[5] LV F, LU F, WU J et al. MBLLEN: low-light image/video enhancement using CNNs[J]. Baghdad Monitoring and Verification Center, 220, 4.(2018).

[6] WEI C, WANG W, YANG W et al. Deep retinex decomposition for low-light enhancement[EB/OL]. https://arxiv.org/abs/1808.04560v1

[7] LI C, GUO J, PORIKLI F et al. LightenNet: a convolutional neural network for weakly illuminated image enhancement[J]. Pattern Recognition Letters, 104, 15-22(2018).

[8] CHEN C, CHEN Q, XU J et al. Learning to see in the dark[C], 3291-3300(2018).

[9] XIONG W, LIU D, SHEN X et al. Unsupervised real-world low-light image enhancement with decoupled networks[EB/OL]. https://arxiv.org/abs/2005.02818v2

[10] JIANG Y, GONG X, LIU D et al. Enlightengan: deep light enhancement without paired supervision[J]. IEEE Transactions on Image Processing, 30, 2340-2349(2021).

[11] GUO C, LI C, GUO J et al. Zero-reference deep curve estimation for low-light image enhancement[C], 1780-1789(2020).

[12] KRUTHIVENTI S S S, SAHAY P, BISWAL R. Low-light pedestrian detection from RGB images using multi-modal knowledge distillation[C], 4207-4211(2017).

[13] QI L, KUEN J, GU J et al. Multi-scale aligned distillation for low-resolution detection[C], 14443-14453(2021).

[14] HINTON G, VINYALS O, DEAN J. Distilling the knowledge in a neural network[EB/OL]. https://arxiv.org/abs/1503.02531

[15] GE Z, LIU S, WANG F et al. Yolox: exceeding yolo series in 2021[EB/OL]. https://arxiv.org/abs/2107.08430

[16] RONNEBERGER O, FISCHER P, BROX T. U-net: convolutional networks for biomedical image segmentation[C], 234-241(2015).

[17] HE K, ZHANG X, REN S et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916.(2015).

[18] WANG W, XIE E, SONG X et al. Efficient and accurate arbitrary-shaped text detection with pixel aggregation network[C], 8440-8449(2019).

[19] ZHU J Y, PARK T, ISOLA P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C], 2223-2232(2017).

[20] DENG J, DONG W, SOCHER R et al. Imagenet: a large-scale hierarchical image database[C], 248-255(2009).

[21] MITTAL A, SOUNDARARAJAN R, BOVIK A C. Making a 'completely blind' image quality analyzer[J]. IEEE Signal Processing Letters, 20, 209-212.(2012).

[22] LOH Y P, CHAN C S. Getting to know low-light images with the exclusively dark dataset[J]. Computer Vision and Image Understanding, 178, 30-42(2019).