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01/18/2022
It's All in the Head: Representation Knowledge Distillation through Classifier Sharing
Representation knowledge distillation aims at transferring rich informat...
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11/25/2021
ML-Decoder: Scalable and Versatile Classification Head
In this paper, we introduce ML-Decoder, a new attention-based classifica...
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10/21/2021
Multi-label Classification with Partial Annotations using Class-aware Selective Loss
Large-scale multi-label classification datasets are commonly, and perhap...
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05/12/2021
Semantic Diversity Learning for Zero-Shot Multi-label Classification
Training a neural network model for recognizing multiple labels associat...
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10/15/2019
Attention Network Robustification for Person ReID
The task of person re-identification (ReID) has attracted growing attent...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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11/01/2018
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT
Training data is the key component in designing algorithms for medical i...
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10/04/2018
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder
Accurate segmentation of anatomical structures in chest radiographs is e...
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02/21/2018
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection
In this work we present a novel system for generation of virtual PET ima...
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01/07/2018
Anatomical Data Augmentation For CNN based Pixel-wise Classification
In this work we propose a method for anatomical data augmentation that i...
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07/30/2017