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