research
∙
08/13/2023
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
In this work, by re-examining the "matching" nature of Anomaly Detection...
share
research
∙
06/06/2023
Efficient Anomaly Detection with Budget Annotation Using Semi-Supervised Residual Transformer
Anomaly Detection is challenging as usually only the normal samples are ...
research
∙
01/03/2017
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation
Visual tracking is a fundamental problem in computer vision. Recently, s...
research
∙
02/28/2015
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Deep neural networks, albeit their great success on feature learning in ...
research
∙
10/03/2011
Face Recognition using Optimal Representation Ensemble
Recently, the face recognizers based on linear representations have been...
research
∙
12/12/2010
Real-time Visual Tracking Using Sparse Representation
The ℓ_1 tracker obtains robustness by seeking a sparse representation of...
research
∙
08/30/2010
Totally Corrective Boosting for Regularized Risk Minimization
Consideration of the primal and dual problems together leads to importan...
research
∙
05/22/2010
LACBoost and FisherBoost: Optimally Building Cascade Classifiers
Object detection is one of the key tasks in computer vision. The cascade...
research
∙
04/14/2009
Boosting through Optimization of Margin Distributions
Boosting has attracted much research attention in the past decade. The s...
research
∙
01/23/2009