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Publication search results
found 929 matches
- 2024
- Wei Sun, Ruiqi Zhao, Kunpeng Zhang, Junbo Gao, Guoqiang Qu:
Distribution-Aware Loss for Lesions Detection Using White-Light Endoscopy in Colorectal Region. IEEE Access 12: 46138-46148 (2024) - Hongchang Zhang, Kang Yang, Heng Liu, Jiali Hu, Yao Shu, Juan Zeng:
Small-Scale Pedestrian Detection Using Fusion Network and Probabilistic Loss. IEEE Access 12: 42509-42520 (2024) - Gang Liu, Xiaoxiao Xie, Qingchen Yu:
Monocular 3D object detection with thermodynamic loss and decoupled instance depth. Connect. Sci. 36(1) (2024) - Banoth Thulasya Naik, Mohammad Farukh Hashmi, Aditya Gupta:
EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer. Connect. Sci. 36(1) (2024) - Deao Hu, Mei Yu, Xianyong Wu, Jingbo Hu, Yuyang Sheng, Yanjing Jiang, Chongjing Huang, Yuelin Zheng:
DGW-YOLOv8: A small insulator target detection algorithm based on deformable attention backbone and WIoU loss function. IET Image Process. 18(4): 1096-1108 (2024) - Yingjie Tian, Duo Su, Shilin Li:
Adaptive robust loss for landmark detection. Inf. Fusion 101: 102013 (2024) - Xiaoxu Cai, Gaige Wang, Jianwen Lou, Muwei Jian, Junyu Dong, Rung-Ching Chen, Brett Stevens, Hui Yu:
Perceptual loss guided Generative adversarial network for saliency detection. Inf. Sci. 654: 119625 (2024) - Eko Adhi Setiawan, Muhammad Fathurrahman, Radityo Fajar Pamungkas, Samsul Ma'arif:
Fast Partial Shading Detection on PV Modules for Precise Power Loss Ratio Estimation Using Digital Image Processing. J. Electr. Comput. Eng. 2024: 9385602:1-9385602:16 (2024) - Hufei Zhu, Yonghui Huang, Ying Xu, Jianhong Zhou, Fuqin Deng, Yikui Zhai:
Unmanned aerial vehicle (UAV) object detection algorithm based on keypoints representation and rotated distance-IoU loss. J. Real Time Image Process. 21(2): 58 (2024) - Jiawei Zhang, Rui Chen, Yanchun Zhang, Weihong Han, Zhaoquan Gu, Shuqiang Yang, Yongquan Fu:
MF2POSE: Multi-task Feature Fusion Pseudo-Siamese Network for intrusion detection using Category-distance Promotion Loss. Knowl. Based Syst. 283: 111110 (2024) - Andrei Racoviteanu, Corneliu Florea, Laura Florea, Constantin Vertan:
Normalized margin loss for action unit detection. Mach. Vis. Appl. 35(1): 9 (2024) - Ahmed Dawood, B. M. Hasaneen, A. M. Abdel-Aziz:
Design of an efficient neural network model for detection and classification of phase loss faults for three-phase induction motor. Neural Comput. Appl. 36(11): 5827-5845 (2024) - Keke Su, Lihua Cao, Botong Zhao, Ning Li, Di Wu, Xiyu Han:
N-IoU: better IoU-based bounding box regression loss for object detection. Neural Comput. Appl. 36(6): 3049-3063 (2024) - Yuhao Deng, Chengliang Chai, Lei Cao, Nan Tang, Jiayi Wang, Ju Fan, Ye Yuan, Guoren Wang:
MisDetect: Iterative Mislabel Detection using Early Loss. Proc. VLDB Endow. 17(6): 1159-1172 (2024) - Ilham Adi Panuntun, Ilham Jamaluddin, Ying-Nong Chen, Shiou-Nu Lai, Kuo-Chin Fan:
LinkNet-Spectral-Spatial-Temporal Transformer Based on Few-Shot Learning for Mangrove Loss Detection with Small Dataset. Remote. Sens. 16(6): 1078 (2024) - Muhammad Ali Khan, Rao Naveed Bin Rais, Osman Khalid, Sanan Ahmad:
Trust-Based Optimized Reporting for Detection and Prevention of Black Hole Attacks in Low-Power and Lossy Green IoT Networks. Sensors 24(6): 1775 (2024) - Md. Mottahir Alam, Ahteshamul Haque, Jabir Hakami, Asif Irshad Khan, Amjad Ali Pasha, Navin Kasim, Saiful Islam, Mohammad Amir Khan, Sasan Zahmatkesh, Mostafa Hajiaghaei-Keshteli, Kashif Irshad:
An optimal deep belief with buffalo optimization algorithm for fault detection and power loss in grid-connected system. Soft Comput. 28(3): 2577-2591 (2024) - Kevin Benham, Phillip Lewis, Joseph C. Richardson:
Effects of Loss Function Choice on One-Shot HSI Target Detection With Paired Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4743-4750 (2024) - Jiahuan Zhang, Hengzhen Liu, Yi Zhang, Menghan Li, Zongqian Zhan:
Faster Transformer-DS: Multiscale Vehicle Detection of Remote-Sensing Images Based on Transformer and Distance-Scale Loss. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1961-1975 (2024) - Kevin Wilkinghoff, Frank Kurth:
Why Do Angular Margin Losses Work Well for Semi-Supervised Anomalous Sound Detection? IEEE ACM Trans. Audio Speech Lang. Process. 32: 608-622 (2024) - Muwei Jian, Xiangwei Lu, Xiaoyang Yu, Yakun Ju, Hui Yu, Kin-Man Lam:
Flow-Edge-Net: Video Saliency Detection Based on Optical Flow and Edge-Weighted Balance Loss. IEEE Trans. Comput. Soc. Syst. 11(2): 2026-2035 (2024) - Sonali Samal, Yu-Dong Zhang, Juan Manuel Górriz Sáez, Shui-Hua Wang, Bunil Kumar Balabantaray, Rajashree Nayak:
EAYv3-CF$C{3}$: Ensemble Learning With Attention-Based Yv3 Combined With CF$C{3}$ Loss for Obscenity Detection. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1097-1101 (2024) - Zifei Zhao, Shengyang Li:
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - Qiankun Li, Xianwang Yu, Junxin Chen, Ben-Guo He, Wei Wang, Danda B. Rawat, Zhihan Lyu:
PGA-Net: Polynomial Global Attention Network With Mean Curvature Loss for Lane Detection. IEEE Trans. Intell. Transp. Syst. 25(1): 417-429 (2024) - Sheng-Ye Wang, Zhong Qu, Le-yuan Gao:
Multi-Spatial Pyramid Feature and Optimizing Focal Loss Function for Object Detection. IEEE Trans. Intell. Veh. 9(1): 1054-1065 (2024) - Jia-Wei Ma, Min Liang, Lei Chen, Shu Tian, Song-Lu Chen, Jingyan Qin, Xu-Cheng Yin:
Sample Weighting with Hierarchical Equalization Loss for Dense Object Detection. IEEE Trans. Multim. 26: 5846-5859 (2024) - Nicolas Beuve, Wassim Hamidouche, Olivier Déforges:
Hierarchical Learning and Dummy Triplet Loss for Efficient Deepfake Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 89:1-89:18 (2024) - Thanh Vu, Baochen Sun, Bodi Yuan, Alex Ngai, Yueqi Li, Jan-Michael Frahm:
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond. AAAI 2024: 5280-5288 - Piyush Nikam, Rutvik Vijjali, Shaik Masihullah, Meghana Negi, Jose Mathew:
Utilizing DevNet with Variational Loss for Fraud Detection in Hyperlocal Food Delivery. COMAD/CODS 2024: 459-463 - Tianran Hao, Ying Tao, Meng Li, Xiao Ma, Peng Dong, Lisha Cui, Pei Lv, Mingliang Xu:
Foreground and Background Separate Adaptive Equilibrium Gradients Loss for Long-Tail Object Detection. CVM (2) 2024: 200-218
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