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Class-Difficulty Based Methods for Long-Tailed Visual Recognition.

, , and . Int. J. Comput. Vis., 130 (10): 2517-2531 (2022)

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Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention., , and . ACM Multimedia, page 4220-4229. ACM, (2021)Analyzing Pedestrians' Walking Patterns Using Single-Row Laser Range Scanners., , , , , and . SMC, page 1202-1207. IEEE, (2006)Tracking pedestrians using multiple single-row laser range scanners and its reliability evaluation., , , , , and . Syst. Comput. Jpn., 37 (7): 1-11 (2006)Real-time monocular ranging by Bayesian triangulation., , , and . Intelligent Vehicles Symposium, page 1368-1373. IEEE, (2013)Class-Difficulty Based Methods for Long-Tailed Visual Recognition., , and . Int. J. Comput. Vis., 130 (10): 2517-2531 (2022)Enhancement of H.264/AVC for higher coding efficiency using motion estimation between reference frames., , , , and . IEEE Trans. Consumer Electronics, 56 (2): 925-929 (2010)Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance., , and . ACCV (6), volume 12627 of Lecture Notes in Computer Science, page 549-565. Springer, (2020)Detection and tracking of multiple pedestrians by using laser range scanners., , , , , and . IROS, page 2174-2179. IEEE, (2007)Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals., , , and . CVPR, page 6817-6826. IEEE Computer Society, (2017)Hierarchical Model for Zero-shot Activity Recognition using Wearable Sensors., , , , , , , and . ICAART (2), page 478-485. SciTePress, (2018)