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".
Categories
Tags
Homoeostasis Dendritic computation computational neuroscience Evolutionary algorithms computational modelling Studentship Neuromorphic hardware COVID-19 PCA Associative memory neuroscience cerebellum Purkinje cell Deep learning Structural plasticity Computer Science Convolutional Neural Networks neural networks Persistent homology Artificial intelligence Neurons Neuronal Morphology robotics Network connectivity Open position optimization machine learning Software development olfaction synaptic plasticity
Page 1 / 1