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Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
[article]
2021
arXiv
pre-print
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Finally, a parallel stereo deraining network fuses semantic and multi-view information to restore finer results. We also propose new stereo based rainy datasets for benchmarking. ...
(VFNet) which fuse semantic information and multi-view information respectively. ...
Acknowledgment This work is funded in part by the ARC Centre of Excellence for Robotics Vision (CE140100016), ARC-Discovery (DP 190102261) and ARC-LIEF (190100080) grants. ...
arXiv:2105.03830v1
fatcat:icmkotgvsbbpppoxywuykyqbrq
All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey
[article]
2022
arXiv
pre-print
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Our work covers five primary contents: (1) A theoretical analysis of priors for deep image restoration and enhancement; (2) A hierarchical and structural taxonomy of priors commonly used in the DL-based ...
Deep learning (DL) has recently been applied to image restoration and enhancement. ...
RESCAN [39] proposes a simpler recurrent framework to perform multi-stage rain removal via residual learning. ...
arXiv:2206.02070v1
fatcat:icu7hwua3jggbp7owl2l5mgyfu
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TIP 2021 2450-2460 Image capture Deep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Transformers in Vision: A Survey
[article]
2021
arXiv
pre-print
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., image classification, object detection, action recognition, and segmentation), generative modeling, multi-modal tasks (e.g., visual-question answering, visual reasoning, and visual grounding), video ...
processing (e.g., activity recognition, video forecasting), low-level vision (e.g., image super-resolution, image enhancement, and colorization) and 3D analysis (e.g., point cloud classification and segmentation ...
Prangemeier (TU Darmstadt), Luowei Zhou (Microsoft Research), Jason Corso (University of Michigan), Pichao Wang (Alibaba Group), Yuqing Wang (Meituan), Alex Meinke (Uni-Tuebingen), Irwan Bello (Google Brain) and ...
arXiv:2101.01169v4
fatcat:ynsnfuuaize37jlvhsdki54cy4
A Survey of Unsupervised Generative Models for Exploratory Data Analysis and Representation Learning
2021
ACM Computing Surveys
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For more than a century, the methods for data representation and the exploration of the intrinsic structures of data have developed remarkably and consist of supervised and unsupervised methods. ...
families of methods based on their usage in the era of big data: blind source separation, manifold learning, and neural networks, from shallow to deep architectures. ...
The Derain-CycleGAN model consists of an unsupervised attention-guided rain streak extractor (U-ARSE), two generators (G R and G N ) for generating rainy and rain-free images, and two discriminators (D ...
doi:10.1145/3450963
fatcat:hqzhdz6turd73grqkkee2pwnbe
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
2020
Patterns
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style transfer, image super-resolution, image deblurring/dehazing/rain removal, semantic segmentation, depth estimation, pedestrian detection, and person re-identification. ...
transferability or both of these approaches to show the advantages of adversarial learning, such as generative adversarial networks, in typical computer vision tasks in autonomous systems, including image ...
ACKNOWLEDGMENTS The authors would like to thank the Editor-in-Chief, Scientific Editor, and anonymous referees for their helpful comments and suggestions, which have greatly improved this paper. ...
doi:10.1016/j.patter.2020.100050
pmid:33205114
pmcid:PMC7660378
fatcat:vs7wm2yrwjamjbaml36663wvze
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
[article]
2020
arXiv
pre-print
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style transfer, image superresolution, image deblurring/dehazing/rain removal, semantic segmentation, depth estimation, pedestrian detection and person re-identification (re-ID). ...
Finally, we discuss several challenges and future topics for using adversarial learning, RL and meta-learning in autonomous systems. ...
Based on the encoder-decoder network of SegNet, DeepLab uses multi-scale contextual information to enrich semantic information. ...
arXiv:2003.12948v3
fatcat:qtmjs74p2vh6thdotbhgebdvoi