节省 发表于 2025-3-26 22:46:02
Improving Semantic Style Transfer Using Guided Gram Matricesed Gram matrices with gradient capping and multi-scale representations. Our approach simplifies the parameter tuning problem, improves the style transfer results and is faster than current semantic methods.命令变成大炮 发表于 2025-3-27 02:20:09
Real-Time Semantic Mapping of Visual SLAM Based on DCNNeveals that the mIoU of our network on PASCAL 2012 is 0.658 and it takes 101 ms to infer an image with the size of 256 × 212 on NVIDIA Jetson TX2 embedded module, which can be used in real-time visual SLAM.NOVA 发表于 2025-3-27 09:05:05
https://doi.org/10.1007/978-94-010-3078-6thms as representative. Then, their performance for SCIs is measured by nine state-of-the-art image quality assessment (IQA) metrics which have been proven to be consistent with human perception. Finally, we can verify the effectiveness of those SR algorithms on SCIs by comparing the objective quality scores derived from those IQA metrics.encomiast 发表于 2025-3-27 11:26:30
https://doi.org/10.1007/978-3-531-91569-2orithm with traditional methods and other learning-based methods. Experiments on our compressed network demonstrate that the innovative network achieves better accuracy compared to other learning-based algorithms, and is more robust to illumination changes compared to traditional algorithms.Heretical 发表于 2025-3-27 16:33:15
How to Reliably Upsample Screen Content Images?thms as representative. Then, their performance for SCIs is measured by nine state-of-the-art image quality assessment (IQA) metrics which have been proven to be consistent with human perception. Finally, we can verify the effectiveness of those SR algorithms on SCIs by comparing the objective quality scores derived from those IQA metrics.impale 发表于 2025-3-27 19:33:39
Efficient and Robust Homography Estimation Using Compressed Convolutional Neural Networkorithm with traditional methods and other learning-based methods. Experiments on our compressed network demonstrate that the innovative network achieves better accuracy compared to other learning-based algorithms, and is more robust to illumination changes compared to traditional algorithms.condescend 发表于 2025-3-28 00:16:52
http://reply.papertrans.cn/28/2798/279736/279736_37.png讨人喜欢 发表于 2025-3-28 04:34:52
Conference proceedings 2019 China, in September 2018..The 39 full papers presented in this volume were carefully reviewed and selected from 130 submissions. They were organized in topical sections on image processing; machine learning; quality assessment; telecommunications; video coding; video surveillance; virtual reality.越自我 发表于 2025-3-28 09:35:22
http://reply.papertrans.cn/28/2798/279736/279736_39.png名次后缀 发表于 2025-3-28 12:49:25
https://doi.org/10.1007/978-94-009-7046-5le if this line crosses these objects. The experimental results show that our method can effectively avoid “seam-line crossing the object” phenomenon and make the mosaic images look more natural. At the same time, our method can also be combined with global warp and other more advanced local-warp-ba