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| 2025-09-02 | EdgeSAM: Prompt-In-the-Loop Distillation for SAM | International Journal of Computer Vision | Chong Zhou, Xiangtai Li, Chen Change Loy et al. | 25 | cites it |
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| 2022-06-29 | Deep learning-based localization and segmentation of wrist fractures on X-ray radiographs | Neural Computing and Applications | Deepa Joshi, Thipendra P. Singh, Anil Kumar Joshi | 23 | cites it |
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| 2025-01-09 | Revolutionizing online shopping with FITMI: a realistic virtual try-on solution | Neural Computing and Applications | Tassneam M. Samy, Beshoy I. Asham, Salwa O. Slim et al. | 19 | cites it |
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| 2025-03-19 | Fully Decoupled End-to-End Person Search: An Approach without Conflicting Objectives | International Journal of Computer Vision | Pengcheng Zhang, Xiaohan Yu, Bai Xiao et al. | 16 | cites it |
| 2021-12-28 | Mask encoding: A general instance mask representation for object segmentation | Pattern Recognition | Rufeng Zhang, Tao Kong, Xinlong Wang et al. | 15 | cites it |
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| 2023-10-31 | A broader study of cross-domain few-shot object detection | Applied Intelligence | Liangbing Sa, Chongchong Yu, Zhaorui Hong et al. | 6 | cites it |
| 2024-08-16 | Masked Channel Modeling for Bootstrapping Visual Pre-training | International Journal of Computer Vision | Yang Liu, Xinlong Wang, Muzhi Zhu et al. | 6 | cites it |
| 2024-10-19 | On the Generalization and Causal Explanation in Self-Supervised Learning | International Journal of Computer Vision | Wenwen Qiang, Zeen Song, Ziyin Gu et al. | 4 | cites it |
| 2025-06-14 | Automated high-resolution microscopy for clinker analysis: A divide-and-conquer deep learning approach with mask R-CNN and PCA for alite measurement | Expert Systems with Applications | Isaac Emanuel Costa De Andrade, Renê Michel Santana Padilha, Rosineide Fernando da Paz et al. | 4 | cites it |
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| 2026-02-04 | Relaxed Knowledge Distillation | International Journal of Computer Vision | Zheng Qu, Xiwen Yao, Xuguang Yang et al. | 1 | cites it |
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| 2026-04-01 | Floating waste detection using deep learning: a comparative study of YOLO, RT-DETR, and faster R-CNN | Neural Computing and Applications | Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury, Jawad-Ul Kabir Chowdhury et al. | 1 | cites it |
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