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09/21/2023
Environment-biased Feature Ranking for Novelty Detection Robustness
We tackle the problem of robust novelty detection, where we aim to detec...
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12/15/2022
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time
We pose video object segmentation as spectral graph clustering in space ...
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10/06/2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
We introduce a formalization and benchmark for the unsupervised anomaly ...
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06/30/2022
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
Analyzing the distribution shift of data is a growing research direction...
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12/09/2021
Transferring BERT-like Transformers' Knowledge for Authorship Verification
The task of identifying the author of a text spans several decades and w...
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04/12/2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
Leveraging deep learning models for Anomaly Detection (AD) has seen wide...
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03/26/2021
Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph
Babies learn with very little supervision by observing the surrounding w...
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11/27/2020
SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking
We propose an object tracking method, SFTrack++, that smoothly learns to...
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07/05/2019
A Spectral Approach to Unsupervised Object Segmentation in Video
We formulate object segmentation in video as a graph partitioning proble...
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04/05/2018
Learning a Robust Society of Tracking Parts using Co-occurrence Constraints
Object tracking is an essential problem in computer vision that has been...
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05/26/2017