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Mean-Variance Loss for Deep Age Estimation From a Face.

, , , and . CVPR, page 5285-5294. Computer Vision Foundation / IEEE Computer Society, (2018)

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Deep Conditional Distribution Learning for Age Estimation., , , and . IEEE Trans. Inf. Forensics Secur., (2021)Generative Adversarial Network Based NDVI Super-resolution Reconstruction., , and . GCCE, page 350-351. IEEE, (2023)BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement., , , , , , and . CVPR, page 17072-17081. IEEE, (2022)Mean-Variance Loss for Deep Age Estimation From a Face., , , and . CVPR, page 5285-5294. Computer Vision Foundation / IEEE Computer Society, (2018)Revised Contrastive Loss for Robust Age Estimation from Face., , , and . ICPR, page 3586-3591. IEEE Computer Society, (2018)INT: Towards Infinite-Frames 3D Detection with an Efficient Framework., , , , , , , , , and . ECCV (9), volume 13669 of Lecture Notes in Computer Science, page 193-209. Springer, (2022)GCNXSS: An Attack Detection Approach for Cross-Site Scripting Based on Graph Convolutional Networks., , , , and . KSII Trans. Internet Inf. Syst., 16 (12): 4008-4023 (2022)A high-dimensional feature selection method based on modified Gray Wolf Optimization., , and . Appl. Soft Comput., (March 2023)CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation., , , and . ICRA, page 11117-11123. IEEE, (2022)PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features., , , , , , , , and . CVPR, page 3279-3288. Computer Vision Foundation / IEEE, (2021)