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Found 7 papers, 3 papers with code
CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement
Low-light images, characterized by inadequate illumination, pose challenges of diminished clarity, muted colors, and reduced details.
Ranked #26 on
Low-Light Image Enhancement
on LOL
Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy
It achieves remarkable performance in diabetic retinopathy detection and stage classification on the APTOS 2019, outperforming the established literature.
Diabetic Retinopathy Detection
Diabetic Retinopathy Grading
+1
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods
Spreading of COVID-19 virus has increased the efforts to provide testing kits.
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
In the proposed method an alternative simple local operation, called PlaneConv, is introduced which can extract local geometric features from point clouds by learning a set of planes in Rn space.
Ranked #4 on
Semantic Segmentation
on ShapeNet
An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks
Unlike the traditional convolutional neural networks (CNNs), this architecture is able to preserve the pose of the objects in the picture.
An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks
In this paper, we have studied how the training of the convolutional neural networks (CNNs) can be affected by changing the position of the batch normalization (BN) layer.
An Objective Evaluation Metric for image fusion based on Del Operator
Remarkable and attractive points of the proposed metric are that it has no parameter, the result is probability in the range of [0, 1] and it is free from illumination dependence.
