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CANDY: Category-Kernelized Dynamic Convolution for Instance Segmentation.

, , , , , and . ICASSP, page 1-5. IEEE, (2023)

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Hamming Distance Computation in Unreliable Resistive Memory.. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt1hb1566s).SAFE: Simultaneous Alignment of Features and Predictions for Dense Object Detectors., , , , and . ICME, page 306-311. IEEE, (2023)Stacked U-Nets With Multi-Output for Road Extraction., , , and . CVPR Workshops, page 202-206. Computer Vision Foundation / IEEE Computer Society, (2018)LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices., , , , and . ECCV Workshops (2), volume 13802 of Lecture Notes in Computer Science, page 507-523. Springer, (2022)A coding scheme for reliable in-memory hamming distance computation., , , and . ACSSC, page 1713-1717. IEEE, (2017)Food-Agnostic Dish Detection: A Simple Baseline., , and . IEEE Access, (2021)AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection., , , , , , , and . IJCAI, page 827-833. ijcai.org, (2022)Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation., , , , , , , and . CVPR, page 28653-28663. IEEE, (2024)Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 29 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 71-91. Springer, (2022)Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection., , , , , and . ACM Multimedia, page 5999-6008. ACM, (2022)