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01/14/2020
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis
An ongoing major challenge in computer vision is the task of person re-i...
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07/28/2019
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID
Person re-identification (ReID) remains a very difficult challenge in co...
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07/04/2019
A Survey of Pruning Methods for Efficient Person Re-identification Across Domains
Recent years have witnessed a substantial increase in the deep learning ...
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05/16/2018
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification
In recent years, a variety of proposed methods based on deep convolution...
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05/02/2017
Transfer Learning by Ranking for Weakly Supervised Object Annotation
Most existing approaches to training object detectors rely on fully supe...
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02/01/2016
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)
The problem of automated crowd segmentation and counting has garnered si...
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12/18/2015
Domain Adaptation and Transfer Learning in StochasticNets
Transfer learning is a recent field of machine learning research that ai...
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12/11/2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Deep neural networks are a powerful tool for feature learning and extrac...
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08/22/2015
StochasticNet: Forming Deep Neural Networks via Stochastic Connectivity
Deep neural networks is a branch in machine learning that has seen a met...
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12/20/2014