Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge (Part 3)
Experimental Details and Ablation Studies.
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Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge (Part 2)
Technical Details of Light-weight Deformable Registration network.
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Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
We introduce a new Light-weight Deformable Registration network that significantly reduces the computational cost while achieving competitive accuracy.
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Medical Visual Question Answering Challenges
Discuss about the challenges in Medical VQA
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Multiple Meta-model Quantifying for Medical Visual Question Answering
A new multiple meta-model quantifying method that effectively learns meta-annotation and leverages meaningful features to the medical VQA task
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Federated Learning, Challenges and Hot Trends for research
Discussion about Challenges and Hot Trends in Federated Learning for research
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Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
Deep Multimodal Fusion Network
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Deep Metric Learning Meets Deep Clustering - An Novel Unsupervised Approach for Feature Embedding
A new Unsupervised Deep Metric Learning method.
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Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering.
A novel VQA model that utilizes the question-type prior information to improve VQA by leveraging the multiple interactions between different joint modality methods.
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A Brief Introduction to Visual Question Answering
A VQA Introduction for Newbie
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