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Found 5 papers, 0 papers with code
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information
Human actions recognition is a fundamental task in artificial vision, that has earned a great importance in recent years due to its multiple applications in different areas.
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
This paper presents results of applying Inception v4 deep convolutional neural network to ICIAR-2018 Breast Cancer Classification Grand Challenge, part a.
Corn leaf detection using Region based convolutional neural network
Based on results of experiments conducted with several state-of-the-art models adopted by CNN, a region-based method has been proposed as a faster and more accurate method of corn leaf detection.
Optimizing method for Neural Network based on Genetic Random Weight Change Learning Algorithm
In this paper, we proposed a methodology by combining the RWC and GA, namely Genetic Random Weight Change (GRWC), as well as demonstrate a seminal way to reduce the complexity of the neural network by removing weak weights of GRWC.
Farm land weed detection with region-based deep convolutional neural networks
Being motivated with such unique attributes of ResNet, this paper evaluates the performance of fine-tuned ResNet for object classification of our weeds dataset.
