Výsledky vyhledávání - "IEEE Transactions on Multimedia"

StrongSORT: Make DeepSORT Great Again Autor Du, Yunhao, Zhao, Zhicheng, Song, Yang, Zhao, Yanyun, Su, Fei, Gong, Tao, Meng, Hongying

“…Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly, remarkable progresses have been achieved. However, the existing methods…”
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EAPT: Efficient Attention Pyramid Transformer for Image Processing Autor Lin, Xiao, Sun, Shuzhou, Huang, Wei, Sheng, Bin, Li, Ping, Feng, David Dagan

“…Recent transformer-based models, especially patch-based methods, have shown huge potentiality in vision tasks. However, the split fixed-size patches divide the…”
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Deep Learning for Single Image Super-Resolution: A Brief Review Autor Yang, Wenming, Zhang, Xuechen, Tian, Yapeng, Wang, Wei, Xue, Jing-Hao, Liao, Qingmin

“…Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that aims to obtain a high-resolution output from one of its low-resolution…”
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A Strong Baseline and Batch Normalization Neck for Deep Person Re-Identification Autor Luo, Hao, Jiang, Wei, Gu, Youzhi, Liu, Fuxu, Liao, Xingyu, Lai, Shenqi, Gu, Jianyang

“…This study proposes a simple but strong baseline for deep person re-identification (ReID). Deep person ReID has achieved great progress and high performance in…”
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DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition Autor Jiao, Jiayu, Tang, Yu-Ming, Lin, Kun-Yu, Gao, Yipeng, Ma, Jinhua, Wang, Yaowei, Zheng, Wei-Shi

“…As a de facto solution, the vanilla Vision Transformers (ViTs) are encouraged to model long-range dependencies between arbitrary image patches while the global…”
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Extended Feature Pyramid Network for Small Object Detection Autor Deng, Chunfang, Wang, Mengmeng, Liu, Liang, Liu, Yong, Jiang, Yunliang

“…Small object detection remains an unsolved challenge because it is hard to extract the information of small objects with only a few pixels. While scale-level…”
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Arbitrary-Oriented Scene Text Detection via Rotation Proposals Autor Ma, Jianqi, Shao, Weiyuan, Ye, Hao, Wang, Li, Wang, Hong, Zheng, Yingbin, Xue, Xiangyang

“…This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal…”
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YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic Transformer Autor Tang, Wei, He, Fazhi, Liu, Yu

“…Infrared and visible image fusion is aims to generate a composite image that can simultaneously describe the salient target in the infrared image and texture…”
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Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation Autor Zhang, Yongshan, Wu, Jia, Cai, Zhihua, Yu, Philip S.

“…In image analysis, image samples are always represented by multiple view features and associated with multiple class labels for better interpretation. However,…”
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Image-to-Image Translation: Methods and Applications Autor Pang, Yingxue, Lin, Jianxin, Qin, Tao, Chen, Zhibo

“…Image-to-image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations. I2I has drawn…”
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Geometric Back-Projection Network for Point Cloud Classification Autor Qiu, Shi, Anwar, Saeed, Barnes, Nick

“…As the basic task of point cloud analysis, classification is fundamental but always challenging. To address some unsolved problems of existing methods, we…”
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Exploiting Temporal Contexts With Strided Transformer for 3D Human Pose Estimation Autor Li, Wenhao, Liu, Hong, Ding, Runwei, Liu, Mengyuan, Wang, Pichao, Yang, Wenming

“…Despite the great progress in 3D human pose estimation from videos, it is still an open problem to take full advantage of a redundant 2D pose sequence to learn…”
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Consensus Graph Learning for Multi-View Clustering Autor Li, Zhenglai, Tang, Chang, Liu, Xinwang, Zheng, Xiao, Zhang, Wei, Zhu, En

“…Multi-view clustering, which exploits the multi-view information to partition data into their clusters, has attracted intense attention. However, most existing…”
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AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks Autor Li, Jing, Huo, Hongtao, Li, Chang, Wang, Renhua, Feng, Qi

“…Infrared and visible image fusion aims to describe the same scene from different aspects by combining complementary information of multi-modality images. The…”
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Low-Light Image Enhancement With Semi-Decoupled Decomposition Autor Hao, Shijie, Han, Xu, Guo, Yanrong, Xu, Xin, Wang, Meng

“…Low-light image enhancement is important for high-quality image display and other visual applications. However, it is a challenging task as the enhancement is…”
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MFDNet: Collaborative Poses Perception and Matrix Fisher Distribution for Head Pose Estimation Autor Liu, Hai, Fang, Shuai, Zhang, Zhaoli, Li, Duantengchuan, Lin, Ke, Wang, Jiazhang

“…Head pose estimation suffers from several problems, including low pose tolerance under different disturbances and ambiguity arising from common head pose…”
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Learning Disentangled Representation Implicitly Via Transformer for Occluded Person Re-Identification Autor Jia, Mengxi, Cheng, Xinhua, Lu, Shijian, Zhang, Jian

“…Person re-IDentification (re-ID) under various occlusions has been a long-standing challenge as person images with different types of occlusions often suffer…”
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DualGNN: Dual Graph Neural Network for Multimedia Recommendation Autor Wang, Qifan, Wei, Yinwei, Yin, Jianhua, Wu, Jianlong, Song, Xuemeng, Nie, Liqiang

“…One of the important factors affecting micro-video recommender systems is to model the multi-modal user preference on the micro-video. Despite the remarkable…”
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Scale-Aware Fast R-CNN for Pedestrian Detection Autor Li, Jianan, Liang, Xiaodan, Shen, Shengmei, Xu, Tingfa, Feng, Jiashi, Yan, Shuicheng

“…In this paper, we consider the problem of pedestrian detection in natural scenes. Intuitively, instances of pedestrians with different spatial scales may…”
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STAT: Spatial-Temporal Attention Mechanism for Video Captioning Autor Yan, Chenggang, Tu, Yunbin, Wang, Xingzheng, Zhang, Yongbing, Hao, Xinhong, Zhang, Yongdong, Dai, Qionghai

“…Video captioning refers to automatic generate natural language sentences, which summarize the video contents. Inspired by the visual attention mechanism of…”
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