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Found 5 papers, 2 papers with code
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty
Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis.
End-to-end Person Search Sequentially Trained on Aggregated Dataset
In video surveillance applications, person search is a challenging task consisting in detecting people and extracting features from their silhouette for re-identification (re-ID) purpose.
Describe me if you can! Characterized Instance-level Human Parsing
In addition, we propose HPTR, a new bottom-up multi-task method based on transformers as a fast and scalable baseline.
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
We present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies in images in a one-class learning setting.
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Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling
A challenge for re-ID is the performance preservation when a model is used on data of interest (target data) which belong to a different domain from the training data domain (source data).
