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Found 8 papers, 1 papers with code
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
Label errors have been found to be prevalent in popular text, vision, and audio datasets, which heavily influence the safe development and evaluation of machine learning algorithms.
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
To address this issue, we establish a structural causal model as the foundation to customize the intervention approaches on Am and Ar, respectively.
Single Image Deraining via Rain-Steaks Aware Deep Convolutional Neural Network
It is challenging to remove rain-steaks from a single rainy image because the rain steaks are spatially varying in the rainy image.
Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus
In order to preserve the edges accurately in the refined depth map, the guidance image is constructed from the multi-focus image sequence, and the coefficient of the AWGIF is utilized to suppress the noise while enhancing the fine depth details.
Ranked #8 on
Spectral Reconstruction
on ARAD-1K
Single image dehazing via combining the prior knowledge and CNNs
If the transmission map of a pixel is small, the base layer of the haze image is used to recover a haze-free image via atmospheric scattering model, finally.
Neural networks with trainable matrix activation functions
The training process of neural networks usually optimize weights and bias parameters of linear transformations, while nonlinear activation functions are pre-specified and fixed.
Temporal-Framing Adaptive Network for Heart Sound Segmentation without Prior Knowledge of State Duration
Moreover, the TFAN-based method achieved an overall F1 score of 99. 2%, 94. 4%, 91. 4% on LEVEL-I, -II and -III data respectively, compared to 98. 4%, 88. 54% and 79. 80% for the current state-of-the-art method.
Quasi-optimal adaptive mixed finite element methods for controlling natural norm errors
In particular, we obtain new quasi-optimal adaptive mixed methods for the Hodge Laplace, Poisson, and Stokes equations.
Numerical Analysis Numerical Analysis 65N12, 65N15, 65N30, 65N50, 41A25
