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Found 10 papers, 3 papers with code
MCNet: A crowd denstity estimation network based on integrating multiscale attention module
Finally, this paper integrates IMA module and the lightweight crowd texture feature extraction network to construct the MCNet, and validate the feasibility of this network on image classification dataset: Cifar10 and four crowd density datasets: PETS2009, Mall, QUT and SH_METRO to validate the MCNet whether can be a suitable solution for crowd density estimation in metro video surveillance where there are image processing challenges such as high density, high occlusion, perspective distortion and limited hardware resources.
Efficient and Effective Deep Multi-view Subspace Clustering
i) The parameter scale of the FC layer is quadratic to sample numbers, resulting in high time and memory costs that significantly degrade their feasibility in large-scale datasets.
Tensor Robust PCA with Nonconvex and Nonlocal Regularization
To this end, we integrate nonlocal self-similarity into N-TRPCA, and further develop a nonconvex and nonlocal TRPCA (NN-TRPCA) model.
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results.
TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator
The D-r optimizes the target bounding box estimated by SiamRPN++, based on the spatial depth distribution difference between the target and the surrounding background.
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography
Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells.
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Existing subtomogram alignment based methods are prone to the missing wedge effects and low signal-to-noise ratio (SNR).
Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms
To complement and speed up existing segmentation methods, it is desirable to develop a generic cell component segmentation method that is 1) not specific to particular types of cellular components, 2) able to segment unknown cellular components, 3) fully unsupervised and does not rely on the availability of training data.
High-speed real-time single-pixel microscopy based on Fourier sampling
However, according to CS theory, image reconstruction is an iterative process that consumes enormous amounts of computational time and cannot be performed in real time.
Agglomerative clustering and collectiveness measure via exponent generating function
A novel agglomerative clustering method is proposed by utilizing the path integral to define the affinity measure.
