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浏览/检索结果: 共330条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Identifying coastline positions and types based on both the moisture content and feature knowledge of ground objects 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 25 作者:  Chen, Chao;  Gong, Shaojun;  Xu, Nan;  Hou, Xiyong;  Yang, Zhaohui   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/10/14 Coastline  moisture content of ground object  feature knowledge  spatial positioning  type recognition   COMICS: End-to-End Bi-Grained Contrastive Learning for Multi-Face Forgery Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 10, 页码: 10223-10236 作者:  Zhang, Cong;  Qi, Honggang;  Wang, Shuhui;  Li, Yuezun;  Lyu, Siwei   |  收藏  |  浏览/下载：43/0  |  提交时间：2024/12/06 Face recognition  Forgery  Feature extraction  Proposals  Object detection  Faces  Generators  DeepFake  multi-face forgery detection  contrastive learning  fine-grained feature learning   FishFocusNet: An improved method based on YOLOv8 for underwater tropical fish identification 期刊论文  OAI收割 IET IMAGE PROCESSING, 2024, 页码: 16 作者:  Lu, Zhaoxuan;  Zhu, Xiaolong;  Guo, Haitao;  Xie, Xingang;  Chen, Xiangzi   |  收藏  |  浏览/下载：38/0  |  提交时间：2024/10/21 convolutional neural nets  object detection  object recognition   RL-NBV: A deep reinforcement learning based next-best-view method for unknown object reconstruction 期刊论文  OAI收割 PATTERN RECOGNITION LETTERS, 2024, 卷号: 184 作者:  Wang, Tao;  Xi, Weibin;  Cheng, Yong;  Han, Hao;  Yang, Yang   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/11/20 Active vision  Unknown object reconstruction  Deep reinforcement learning  View planning  Autonomous agents   Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文  OAI收割 TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655 作者:  Liu, Jierui;  Cao, Zhiqiang;  Tang, Yingbo   |  收藏  |  浏览/下载：57/0  |  提交时间：2024/02/22 Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition   Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China 期刊论文  OAI收割 IEEE ACCESS, 2024, 卷号: 12, 页码: 55800-55813 作者:  Fan, Junfu;  Gao, Yu;  Shi, Zongwen;  Li, Ping;  Sun, Guangwei   |  收藏  |  浏览/下载：77/0  |  提交时间：2024/05/21 Desert area  multiscale  dynamic convolution decomposition  deformable convolution  deep learning  ground object classification   Objformer: Boosting 3D object detection via instance-wise interaction 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 9 作者:  Tao, Manli;  Zhao, Chaoyang;  Tang, Ming;  Wang, Jinqiao   |  收藏  |  浏览/下载：59/0  |  提交时间：2024/02/22 3D object detection  Point clouds  Incompletion and occlusion  Instance-wise interaction   ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 2, 页码: 3360-3371 作者:  Tian, Yonglin;  Zhang, Xianjing;  Wang, Xiao;  Xu, Jintao;  Wang, Jiangong   |  收藏  |  浏览/下载：64/0  |  提交时间：2024/09/09 Three-dimensional displays  Feature extraction  Point cloud compression  Laser radar  Object detection  Timing  Fuses  3D detection  autonomous driving  asymmetric fusion  cascade fusion  multimodal fusion   A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501 作者:  Nianyin Zeng;  Xinyu Li;  Peishu Wu;  Han Li;  Xin Luo   |  收藏  |  浏览/下载：57/0  |  提交时间：2024/01/23 Attention mechanism  knowledge distillation (KD)  object detection  tensor decomposition (TD)  unmanned aerial vehicles (UAVs)   Parsing Objects at a Finer Granularity: A Survey 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 431-451 作者:  Yifan Zhao;  Jia Li;  Yonghong Tian   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/05/23 Finer granularity, visual parsing, part segmentation, fine-grained object recognition, part relationship