multi-GPU training. both image-based and video-based reid. unified interface for different reid models. end-to-end training and evaluation. standard splits used by most papers. download of trained models. fast cython-based evaluation
University of Technology Sydney. Faculty of Engineering and Information Technology.Person Re-identif...
As a core component of intelligent video surveillance systems, person re-identification (ReID) targe...
Deep learning algorithms base their success on building high learning capacity models with millions ...
Major updates: Model codes such as resnet.py and densenet.py keep the original style for easier mod...
Main update: Plot ranks in a single figure (currently support image-reid) Visualize activation maps...
Added --load-weights (weights that don't match in size will be discarded, e.g. old classification la...
Person ReID is the problem of matching people across many different camera views, also known as mult...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
In person re-identification (ReID) task, because of its shortage of trainable dataset, it is common ...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Neural network architectures have demonstrated to achieve impressive results across a wide range of ...
Neural network architectures have demonstrated to achieve impressive results across a wide range of ...
Convolutional deep neural networks (CNNs) has been shown to perform well in difficult learning tasks...
DeepJetCore: Package for training and evaluation of deep neural networks for HEP This package provi...
We are living in an information era where the amount of image and video data increases exponentially...
University of Technology Sydney. Faculty of Engineering and Information Technology.Person Re-identif...
As a core component of intelligent video surveillance systems, person re-identification (ReID) targe...
Deep learning algorithms base their success on building high learning capacity models with millions ...
Major updates: Model codes such as resnet.py and densenet.py keep the original style for easier mod...
Main update: Plot ranks in a single figure (currently support image-reid) Visualize activation maps...
Added --load-weights (weights that don't match in size will be discarded, e.g. old classification la...
Person ReID is the problem of matching people across many different camera views, also known as mult...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
In person re-identification (ReID) task, because of its shortage of trainable dataset, it is common ...
Person re-identification (ReID) focuses on identifying people across different scenes in video surve...
Neural network architectures have demonstrated to achieve impressive results across a wide range of ...
Neural network architectures have demonstrated to achieve impressive results across a wide range of ...
Convolutional deep neural networks (CNNs) has been shown to perform well in difficult learning tasks...
DeepJetCore: Package for training and evaluation of deep neural networks for HEP This package provi...
We are living in an information era where the amount of image and video data increases exponentially...
University of Technology Sydney. Faculty of Engineering and Information Technology.Person Re-identif...
As a core component of intelligent video surveillance systems, person re-identification (ReID) targe...
Deep learning algorithms base their success on building high learning capacity models with millions ...
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