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 Convolutional Neural Networks Neuromorphic hardware PCA neuroscience cerebellum Structural plasticity Dendritic computation Evolutionary algorithms Computer Science Persistent homology Studentship robotics Neuronal Morphology computational modelling Homoeostasis Software development machine learning Neurons optimization Purkinje cell Network connectivity Associative memory COVID-19 computational neuroscience Deep learning olfaction Open position neural networks artificial intelligence
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