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06/12/2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
The visual classification performance of vision-language models such as ...
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05/22/2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection
Despite their impressive capabilities, diffusion-based text-to-image (T2...
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11/06/2022
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Large pre-trained, zero-shot capable models have shown considerable succ...
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10/13/2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support
A grand goal in deep learning research is to learn representations capab...
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07/08/2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
Proxy-based Deep Metric Learning (DML) learns deep representations by em...
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03/23/2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Deep metric learning (DML) enables learning with less supervision throug...
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03/23/2022
Improving the Fairness of Chest X-ray Classifiers
Deep learning models have reached or surpassed human-level performance i...
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03/16/2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Deep Metric Learning (DML) aims to learn representation spaces on which ...
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03/16/2022
Integrating Language Guidance into Vision-based Deep Metric Learning
Deep Metric Learning (DML) proposes to learn metric spaces which encode ...
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07/20/2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Deep Metric Learning (DML) aims to find representations suitable for zer...
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06/15/2021
Towards Total Recall in Industrial Anomaly Detection
Being able to spot defective parts is a critical component in large-scal...
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09/17/2020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Deep Metric Learning (DML) provides a crucial tool for visual similarity...
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06/22/2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Across the world's coronavirus disease 2019 (COVID-19) hot spots, the ne...
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05/24/2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
The need to streamline patient management for COVID-19 has become more p...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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04/12/2020
Sharing Matters for Generalization in Deep Metric Learning
Learning the similarity between images constitutes the foundation for nu...
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03/24/2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Learning visual similarity requires to learn relations, typically betwee...
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02/19/2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Deep Metric Learning (DML) is arguably one of the most influential lines...
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09/25/2019
MIC: Mining Interclass Characteristics for Improved Metric Learning
Metric learning seeks to embed images of objects suchthat class-defined ...
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08/14/2019
Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining
In this paper we propose a novel procedure to improve liver and liver le...
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05/09/2019
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function
At present, lesion segmentation is still performed manually (or semi-aut...
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01/13/2019