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03/26/2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Visual anomaly classification and segmentation are vital for automating ...
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07/28/2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation
Visual anomaly detection is commonly used in industrial quality inspecti...
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04/28/2021
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
Scenes play a crucial role in breaking the storyline of movies and TV ep...
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11/14/2018
A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images
Automatic segmentation of left ventricle (LV) myocardium in cardiac shor...
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07/26/2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Although weight and activation quantization is an effective approach for...
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06/12/2018
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint
Cochlear implants (CIs) are neural prosthetics which are used to treat p...
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04/05/2016
Counting Grid Aggregation for Event Retrieval and Recognition
Event retrieval and recognition in a large corpus of videos necessitates...
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03/17/2016