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06/29/2023
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion
Multimodal Named Entity Recognition (MNER) is a crucial task for informa...
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03/24/2023
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Current methods for few-shot segmentation (FSSeg) have mainly focused on...
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08/23/2022
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
Few-shot segmentation aims to learn a segmentation model that can be gen...
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06/02/2022
Distilling Knowledge from Object Classification to Aesthetics Assessment
In this work, we point out that the major dilemma of image aesthetics as...
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08/19/2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
We address the challenging task of few-shot segmentation in this work. I...
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08/17/2021
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation
Weakly supervised image segmentation trained with image-level labels usu...
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08/11/2021
Few-Shot Segmentation with Global and Local Contrastive Learning
In this work, we address the challenging task of few-shot segmentation. ...
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03/24/2020
