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