误解
发表于 2025-3-21 16:30:44
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incredulity
发表于 2025-3-21 21:50:04
Multi-person 3D Pose Estimation from Monocular Image Sequencessidering the temporal smoothness. We evaluate our framework on the Human3.6M dataset and the multi-person image sequence captured by ourselves. The quantitative results on the Human3.6M dataset and the qualitative results on our constructed test data demonstrate the effectiveness of our proposed method.
Neutropenia
发表于 2025-3-22 01:55:57
Shape Description and Retrieval in a Fused Scale Spacee are extracted across scales. Finally, shape retrieval is conducted by an integration of the retrieval results individually yielded at multiple scales. Experimental results on benchmark datasets validate the accuracy, efficiency and robustness of our proposed method.
杠杆支点
发表于 2025-3-22 06:02:48
Gated Contiguous Memory U-Net for Single Image Dehazingcombine the features of different levels. We evaluate our proposed method using two public image dehazing benchmarks. The experiments demonstrate that our network can achieve a state-of-the-art performance when compared with other popular methods.
公司
发表于 2025-3-22 12:44:28
Conference proceedings 2019 different domains. The second volume, LNCS 11954, is organized in topical sections on image processing by neural techniques; learning from incomplete data; model compression and optimisation; neural learning models; neural network applications; and social network computing..
barium-study
发表于 2025-3-22 13:41:13
Conference proceedings 2019g, ICONIP 2019, held in Sydney, Australia, in December 2019..The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across
树木中
发表于 2025-3-22 18:12:38
0302-9743Processing, ICONIP 2019, held in Sydney, Australia, in December 2019..The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniq
向下
发表于 2025-3-23 01:01:22
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Middle-Ear
发表于 2025-3-23 04:46:03
STNet: A Style Transformation Network for Deep Image Steganographyarbitrary size with 0.06 bit per pixel, improving over other deep steganographic models which only can embed fixed-length secret. Experiment results demonstrate that our STNet can achieve great visual effect, security, and reliability.
FRAX-tool
发表于 2025-3-23 08:52:49
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