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08/24/2023
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition
Recently, large-scale pre-trained vision-language models have presented ...
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08/23/2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Out-of-distribution (OOD) detection refers to training the model on an i...
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07/27/2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification
In the medical field, federated learning commonly deals with highly imba...
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06/08/2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning
Though Self-supervised learning (SSL) has been widely studied as a promi...
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04/12/2023
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
Contrastive Language-Image Pre-training (CLIP) is a powerful multimodal ...
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09/27/2022
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
Fully supervised semantic segmentation learns from dense masks, which re...
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09/15/2022
Exploring Visual Interpretability for Contrastive Language-Image Pre-training
Contrastive Language-Image pre-training (CLIP) learns rich representatio...
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08/22/2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Long-tailed learning aims to tackle the crucial challenge that head clas...
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06/30/2022
