Minghua Zheng's Journal Club session where he will talk about the paper "Few-shot Object Counting with Similarity-Aware Feature Enhancement".
Author: Minghua Zheng
- Tagged as : Algorithms: Image recognition and understanding (object detection and algorithms (including transfer and un-supervised learning) Benchmark testing categorization Computer vision Finite element analysis Focusing formulations Image recognition low-shot Machine learning architectures segmentation) self- semi- Target recognition Trainin
Learning To Count Everything
Minghua Zheng's Journal Club session where he will talk about a paper "Learning To Count Everything"
Class-Balanced Loss Based on Effective Number of Samples
Minghua Zheng's Journal Club session where he will talk about a paper "Class-Balanced Loss Based on Effective Number of Samples"
Bacterial colony counting with Convolutional Neural Networks in Digital Microbiology Imaging
Minghua Zheng's Journal Club session where he will talk about the paper "Bacterial colony counting with Convolutional Neural Networks in Digital Microbiology Imaging".
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synaptic plasticity Deep learning Evolutionary algorithms neuroscience PCA Purkinje cell Structural plasticity neural networks Neuromorphic hardware Convolutional Neural Networks Dendritic computation Homoeostasis Associative memory COVID-19 optimization cerebellum Neurons Software development Artificial intelligence robotics Network connectivity Computer Science Studentship machine learning olfaction Neuronal Morphology Open position computational modelling Persistent homology computational neuroscience
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