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03/23/2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
This work investigates dataset vectorization for two dataset-level tasks...
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03/09/2023
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift
Model calibration usually requires optimizing some parameters (e.g., tem...
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02/02/2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation
This work aims to assess how well a model performs under distribution sh...
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07/14/2022
On the Strong Correlation Between Model Invariance and Generalization
Generalization and invariance are two essential properties of any machin...
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06/10/2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Understanding classifier decision under novel environments is central to...
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12/12/2020
Fine-grained Classification via Categorical Memory Networks
Motivated by the desire to exploit patterns shared across classes, we pr...
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07/06/2020
Are Labels Necessary for Classifier Accuracy Evaluation?
To calculate the model accuracy on a computer vision task, e.g., object ...
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12/03/2018
Domain Alignment with Triplets
Deep domain adaptation methods can reduce the distribution discrepancy b...
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11/26/2018
Similarity-preserving Image-image Domain Adaptation for Person Re-identification
This article studies the domain adaptation problem in person re-identifi...
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11/19/2017
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
Person re-identification (re-ID) models trained on one domain often fail...
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03/16/2017
