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09/15/2023
Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models
Image cartoonization has attracted significant interest in the field of ...
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08/30/2023
Background Debiased SAR Target Recognition via Causal Interventional Regularizer
Recent studies have utilized deep learning (DL) techniques to automatica...
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07/18/2023
Learning to Sample Tasks for Meta Learning
Through experiments on various meta-learning methods, task samplers, and...
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06/28/2023
A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning
Due to limitations in data quality, some essential visual tasks are diff...
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03/09/2023
Intriguing Property of GAN for Remote Sensing Image Generation
Generative adversarial networks (GANs) have achieved remarkable progress...
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01/20/2023
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective
Benefiting from the injection of human prior knowledge, graphs, as deriv...
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12/22/2022
Timestamp-Supervised Action Segmentation in the Perspective of Clustering
Video action segmentation aims to slice the video into several action se...
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08/26/2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective
Few-shot learning models learn representations with limited human annota...
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08/18/2022
Robust Causal Graph Representation Learning against Confounding Effects
The prevailing graph neural network models have achieved significant pro...
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05/26/2022
Efficient U-Transformer with Boundary-Aware Loss for Action Segmentation
Action classification has made great progress, but segmenting and recogn...
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01/11/2022
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Recent works explore learning graph representations in a self-supervised...
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12/24/2021