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Convolution-Enhanced Bi-Branch Adaptive Transformer With Cross-Task Interaction for Food Category and Ingredient Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 2572-2586
作者:  Liu, Yuxin;  Min, Weiqing;  Jiang, Shuqiang;  Rui, Yong
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Semantics  Visualization  Transformers  Task analysis  Feature extraction  Image recognition  Fish  Food recognition  ingredient recognition  food computing  fine-grained recognition  multi-label recognition  
SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 839-851
作者:  Wang, Tao;  Liew, Jun Hao;  Li, Yu;  Chen, Yunpeng;  Feng, Jiashi
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Computer architecture  Microprocessors  Image segmentation  Convolution  Predictive models  Shape  Computational modeling  Instance segmentation  object detection  one-stage  feature aggregation  mask representation  
Scene Recognition With Prototype-Agnostic Scene Layout 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 5877-5888
作者:  Chen, Gongwei;  Song, Xinhang;  Zeng, Haitao;  Jiang, Shuqiang
收藏  |  浏览/下载：38/0  |  提交时间：2020/12/10
Layout  Semantics  Prototypes  Image recognition  Convolution  Neural networks  Deformable models  Scene classification  convolution neural networks  graph neural networks  scene layout  
Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 5, 页码: 2439-2450
作者:  Li, Yong;  Zeng, Jiabei;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：529/0  |  提交时间：2019/04/03
Facial expression recognition  occlusion  CNN with attention mechanism  gate unit  
Implicit Negative Sub-Categorization and Sink Diversion for Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 4, 页码: 1561-1574
作者:  Li, Yu;  Tang, Sheng;  Lin, Min;  Zhang, Yongdong;  Li, Jintao;  Yan, Shuicheng
收藏  |  浏览/下载：68/0  |  提交时间：2019/12/10
Object detection  convolutional neural network  faster R-CNN  classification loss  context information