[51] Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. PyTorch: An imperative style, high-performance deep learning library. In NeurIPS, 2019. 7
[52] Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. You only look once: Unified, real-time object detection. In CVPR, 2016. 1, 3, 7, 10
[53] Joseph Redmon and Ali Farhadi. YOLO9000: better, faster, stronger. In CVPR, 2017. 1, 3
[54] Joseph Redmon and Ali Farhadi. YOLOv3: An incremental improvement. arXiv preprint arXiv:1804.02767, 2018. 1, 3
[55] Atique Rehman,afia Rahim, Shahroz Nadeem, and Sibt Hussain. End-to-end trained CNN encoder-decoder networks for image steganography. In ECCVW, 2018. 6
[56] Atique-ur Rehman,afia Rahim, Shahroz Nadeem, and Sibt-ul Hussain. End-to-end trained CNN encoder-decoder networks for image steganography. In ECCVW, 2019. 6
[57] Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, and Pheng-Ann Heng. Deep texture-aware features for camouflaged object detection. IEEE Transactions on Circuits and Systems for Video Technology, 2023. 3
[58] Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster R-CNN: Towards real-time object detection with region proposal networks. NeurIPS, 2015. 1, 3, 7, 8, 10
[59] Nataniel Ruiz, Sarah Adel Bargal, and Stan Sclaroff. Disrupting deepfakes: Adversarial attacks against conditional image translation networks and facial manipulation systems. In ECCV, 2020. 1, 2, 3
[60] Eran Segalis and Eran Galili. OGAN: Disrupting deepfakes with an adversarial attack that survives training. arXiv preprint arXiv:2006.12247, 2020. 1, 2, 3
[61] P Sengottuvelan, Amitabh Wahi, and A Shanmugam. Performance of decamouflaging through exploratory image analysis. In ICETET, 2008. 1, 3
[62] Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, and Ping Luo. Sparse R-CNN: End-to-end object detection with learnable proposals. In CVPR, 2021. 7
[63] Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, and Nian Liu. Context-aware cross-level fusion network for camouflaged object detection. arXiv preprint arXiv:2105.12555, 2021. 1, 3
[64] Paul Viola and Michael Jones. Rapid object detection using a boosted cascade of simple features. In CVPR, 2001. 1
[65] Paul Viola and Michael Jones. Robust real-time face detection. IJCV, 2004. 1
[66] Chien-Yao Wang, Alexey Bochkovskiy, and Hong-Yuan Liao. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In CVPR, 2023. 3
[67] Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao. Deep high-resolution representation learning for visual recognition. TPAMI, 2020. 3
[68] Run Wang, Felix Juefei-Xu, Meng Luo, Yang Liu, and Lina Wang. FakeTagger: Robust safeguards against deepfake dissemination via provenance tracking. In ACM Multimedia, 2021. 1, 2, 3
[69] Jian-Ru Xue, Jian-Wu Fang, and Pu Zhang. A survey of scene understanding by event reasoning in autonomous driving. International Journal of Automation and Computing, 2018. 1
[70] Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng, and Deng-Ping Fan. Uncertainty-guided transformer reasoning for camouflaged object detection. In ICCV, 2021. 1, 3
[71] Chin-Yuan Yeh, Hsi-Wen Chen, Shang-Lun Tsai, and Sheng-De Wang. Disrupting image-translation-based deepfake algorithms with adversarial attacks. In WACVW, 2020. 3
[72] Matthew Zeiler and Rob Fergus. Visualizing and understanding convolutional networks. In ECCV, 2014. 3
[73] Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, and Deng-Ping Fan. Mutual graph learning for camouflaged object detection. In CVPR, 2021. 3
[74] Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai. Deformable DETR: Deformable transformers for end-to-end object detection. In ICLR, 2020. 1, 3
[75] Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, and Shuhan Chen. CubeNet: X-shape connection for camouflaged object detection. Pattern Recognition, 2022. 3