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eeettt123
2025-05-15
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[1] LeCun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 1998, 86(11): 2278-2324. [2] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]// Advances in Neural Information Processing Systems 25 (NIPS 2012). Lake Tahoe, NV, USA: Curran Associates, 2012: 1097-1105. [3] He K, Zhang X, Ren S, et al. Deep residual learning for image recognition[C]// 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas, NV, USA: IEEE, 2016: 770-778. [4] Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[C]// Advances in Neural Information Processing Systems 30 (NIPS 2017). Long Beach, CA, USA: Curran Associates, 2017: 5998-6008. [5] Dosovitskiy A, Beyer L, Kolesnikov A, et al. An image is worth 16×16 words: Transformers for image recognition at scale[C]// 9th International Conference on Learning Representations (ICLR 2021). Virtual Event: OpenReview, 2021. [5] Dosovitskiy A, Beyer L, Kolesnikov A, et al. An image is worth 16×16 words: Transformers for image recognition at scale[C]// 9th International Conference on Learning Representations (ICLR 2021). Virtual Event: OpenReview, 2021. [7] 石展鲲. 基于深度学习的苹果采摘机器人视觉识别技术研究[D]. 太原: 中北大学, 2023. [8] Chu P, Li Z, Zhang K, et al. O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments[J]. Smart Agricultural Technology, 2023, 3: 100284. [9] He K, Gkioxari G, Dollár P, et al. Mask R-CNN[C]// 2017 IEEE International Conference on Computer Vision (ICCV). Venice, Italy: IEEE, 2017: 2961-2969. [10] Häni N, Roy P, Isler V. MinneApple: A benchmark dataset for apple detection and segmentation[J]. IEEE Robotics and Automation Letters, 2020, 5(2): 852-858. [11] Kirillov A, Mintun E, Ravi N, et al. Segment anything[C]// *2023 IEEE/CVF International Conference on Computer Vision (ICCV)*. Paris, France: IEEE, 2023: 4015-4026. [12] Liu S, Zeng Z, Ren T, et al. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection[C]// *Computer Vision – ECCV 2024*. Springer, Cham, 2024: 4015-4026. [12] Liu S, Zeng Z, Ren T, et al. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection[C]// *Computer Vision – ECCV 2024*. Springer, Cham, 2024: 4015-4026. [14]Sapkota R, Meng Z, Karkee M. Synthetic meets authentic: Leveraging LLM generated datasets for YOLO11 and YOLOv10-based apple detection through machine vision sensors[J]. Smart Agricultural Technology, 2024, 9: 100614. [15] Eigen D, Puhrsch C, Fergus R. Depth map prediction from a single image using a multi-scale deep network[C]// Advances in Neural Information Processing Systems 27 (NIPS 2014). Montreal, QC, Canada: Curran Associates, 2014: 2366-2374. [16] Yang L, Kang B, Huang Z, et al. Depth anything: Unleashing the power of large-scale unlabeled data[C]// *2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)*. Virtual Event: IEEE, 2024: 1-12. [17] Woo S, Park J, Lee J Y, et al. CBAM: Convolutional Block Attention Module[C]// Computer Vision – ECCV 2018. Munich, Germany: Springer, 2018: 3-19.
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eeettt123
发布日期
2025-05-15
其他信息 : 其他三字母的人名首字母都是其他同学发布的哦