We then introduce a novel technique, based on convolutional sparse coding (CSC), and show how it outperforms the state-of-the-art, patch-based approach in terms of flexibility and efficiency, due to the convolutional nature of its filter banks. The key idea for CSC high-speed video ...
python sparsity optimization cuda admm sparse-coding dictionary-learning optimization-algorithms robust-pca fista convolutional-sparse-coding total-variation sparse-representations convolutional-dictionary-learning total-variation-minimization plug-and-play-priors Updated Apr 29, 2024 Python alphacsc / alphacsc...
摘要: Convolutional dictionary learning; Convolutional sparse representations Dictionary Learning Sparse Coding Sparse Representation Learning Convolutional sparse coding is the method of learning sparse...关键词: convolutional neural network convolutional sparse coding residual neural network mixed-scale dense ...
卷积稀疏编码(Convolutional Sparse Coding)是一种基于信号处理和机器学习的方法,用于对数据进行特征提取和表示学习。它通过将输入信号与一组稀疏滤波器进行卷积操作,从而得到一系列稀疏编码表示。这种方法在处理图像、视频和信号数据时特别有效,能够捕捉数据中的局部特征和结构信息,同时具有较强的鲁棒性和泛化能力。通过...
addressing the stability of the sparsest solutionsand pursuit algorithms, and demonstrate practical approachesfor solving the global pursuit problem via simple local processing.Index Terms—Sparse Representations, Convolutional SparseCoding, Uniqueness Guarantees, Orthogonal Matching Pursuit,Basis Pursuit, Global...
A pytorch implementation of a ACSC model based onLerned Convolutional Sparse Codingmodel proposedhereand orhere. ACSC block description Evaluation of different ASCS variants ImageLenaHousePepperCoupleFgprBoatHillManBarbara ACSC131.2831.6929.8829.1126.4329.3129.3529.3627.85 ...
H. Bristow and S. Lucey, "Optimization methods for convolutional sparse coding," arXiv preprint arXiv:1406.2407, 2014.BRISTOW H., LUCEY S.: Optimization Methods for Convolu- tional Sparse Coding. In arXiv:1406.2407 (2014). 9H. Bristow and S. Lucey. Optimization methods for convo- lution...
This paper proposes a new visual tracking method by constructing the robust appearance model of the target with convolutional sparse coding. First, our method uses convolutional sparse coding to divide the interest region of the target into a smooth image and four detail images with different fitting...
MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration 3 Nov 2024 · Kaiang Wen, Bin Xie, Bin Duan, Yan Yan · Edit social preview Precise alignment of multi-modal images with inherent feature discrepancies poses a pivotal challenge ...
Sparse coding has become an increasingly popular method in learning and vision for a variety of classification, reconstruction and coding tasks. The canonical approach intrinsically assumes independence between observations during learning. For many natural signals however, sparse coding is applied to sub-...