TransUNet
Transformers Make Strong Encoders for Medical Image Segmentation
본 논문은 Johns Hopkins University 에서 arxiv:2102.04306v1 에 발표한 논문입니다.
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A Continual Learning Framework for Uncertainty-Aware Interactive Segmentation
Continual learning and interactive segmentation
본 논문은 Rochester Institute of Technology 에서 2021 AAAI 에 발표한 논문입니다.
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Bootstrap Your Own Latent
A New Approach to Self-Supervised Learning
Bootstrap Your Own Latent 논문은 deepmind 에서 2020 Neurips 에 발표한 논문입니다.
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Neural Bootstrapper
Scalable and Efficient bootstrapping with Neural Networks
Abstract
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Transformer is All You Need
Multimodal Multitask Learning with a Unified Transformer
Abstract
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