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Compression of a Deep Competitive Network Based on Mutual Information for Underwater Acoustic Targets Recognition., , and . Entropy, 20 (4): 243 (2018)Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks., , and . Entropy, 25 (2): 318 (February 2023)Auditory Inspired Convolutional Neural Networks for Ship Type Classification with Raw Hydrophone Data., , , , and . Entropy, 20 (12): 990 (2018)Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph., , , , , , and . ECCV (8), volume 13668 of Lecture Notes in Computer Science, page 662-679. Springer, (2022)UniPAD: A Universal Pre-training Paradigm for Autonomous Driving., , , , , , , , , and 2 other author(s). CoRR, (2023)GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds., , , , , , , and . CoRR, (2022)PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer., , , , , , , and . CVPR, page 13476-13487. IEEE, (2023)Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms., , , , , and . Sensors, 20 (1): 253 (2020)A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition., , , and . Sensors, 19 (5): 1104 (2019)Feature Fusion Based on Graph Convolution Network for Modulation Classification in Underwater Communication., , and . Entropy, 25 (7): 1096 (July 2023)