Unofficial pytorch implementation of the paper "MUSIQ: Multi-Scale Image Quality Transformer" (paper link:https://arxiv.org/abs/2108.05997) This code doesn't exactly match what the paper describes. It only works on the KonIQ-10k dataset. Or it works on the database which resolution is 1024...
multi-scale transformercontextural informationsemantic segmentationmarine animalsubregionImage segmentation plays an important role in the sensing systems of autonomous underwater vehicles for fishing. Via accurately perceiving the marine organisms and surrounding environment, the automatic catch of marine ...
A reference image capturing the same scene of a corrupted image offers informative guidance for completing the corrupted image as it shares similar texture and structure priors to that of the holes of the corrupted image. In this work, we propose a Transformer-based encoder–decoder network for ...
For scenes that conform to the Manhattan as- sumption, we use image lines to assist in estimating camera parameters. In the wild, we generate a high-quality and di- verse labeled training dataset from panoramic images, and then estimate the camera parameters using a transformer- bas...
However, the integration of the Transformer modules may result in the loss of local contextual information during the global feature fusion process. In this work, we propose a 2D medical image segmentation model called multi-scale cross perceptron attention network (MCPA). The MCPA consists of ...
Simultaneously, the novel research based on the fusion of CNNs, transformer and MLP as, combined with cloud computing, image statistical feature information and other techniques, provides reference and thinking for the field [22], [23], [24], [25]. 2.2. Multi-scale structure In the real wo...
Deep learning models, which offer more powerful image restoration capabilities, have resulted in substantial advances in the area of image restoration. However, there remains ample opportunity for further research due to the inherent complexity of these models and the limitations each one faces in accu...
Depending on this, the image data can be reshaped to an input which is adapted to the original transformer architecture, where denotes the height and width of the image and the number of channels respectively, N denotes the number of patches and P2 denotes the size of the patches. In our...
(FEM), and color restoration module (CRM). MSTFM consists of multi-scale Transformer blocks for capturing long-range dependencies of image information in space. FEM enhances the front features and obtains features of different depths. CRM gets clear images and restores the fidelity color. Ablation...
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation Jiaqi Gu1*, Hyoukjun Kwon2, Dilin Wang2, Wei Ye2, Meng Li2, Yu-Hsin Chen2, Liangzhen Lai2, Vikas Chandra2, David Z. Pan1 1University of Texas at Austin, 2Meta Platforms Inc. jqgu...