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08/06/2023
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Humans recognize anomalies through two aspects: larger patch-wise repres...
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03/12/2023
Towards Diverse Temporal Grounding under Single Positive Labels
Temporal grounding aims to retrieve moments of the described event withi...
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07/04/2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Better Anomaly Detection
Most of anomaly detection algorithms are mainly focused on modeling the ...
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03/31/2021
Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Temporal grounding aims to localize temporal boundaries within untrimmed...
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03/18/2021
Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection
Accurate pedestrian classification and localization have received consid...
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12/20/2020
Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Pedestrian detection benefits greatly from deep convolutional neural net...
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11/02/2019
Visual Relationship Detection with Relative Location Mining
Visual relationship detection, as a challenging task used to find and di...
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07/27/2019
Rethinking Classification and Localization for Cascade R-CNN
We extend the state-of-the-art Cascade R-CNN with a simple feature shari...
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04/06/2019
Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks
High-density object counting in surveillance scenes is challenging mainl...
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12/12/2018
Image Segmentation Based on Multiscale Fast Spectral Clustering
In recent years, spectral clustering has become one of the most popular ...
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07/17/2015
Tree-based Visualization and Optimization for Image Collection
The visualization of an image collection is the process of displaying a ...
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02/28/2015
Improved Image Deblurring based on Salient-region Segmentation
Image deblurring techniques play important roles in many image processin...
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02/21/2015