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11/02/2022
Spatial Reasoning for Few-Shot Object Detection
Although modern object detectors rely heavily on a significant amount of...
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08/16/2021
GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
Few-shot speaker adaptation is a specific Text-to-Speech (TTS) system th...
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01/25/2021
Weakly Supervised Thoracic Disease Localization via Disease Masks
To enable a deep learning-based system to be used in the medical domain ...
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01/22/2021
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation
Visual question answering requires a deep understanding of both images a...
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08/28/2020
Few-Shot Object Detection via Knowledge Transfer
Conventional methods for object detection usually require substantial am...
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08/05/2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks
To understand the black-box characteristics of deep networks, counterfac...
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04/01/2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Few-shot learning aims to classify unseen classes with a few training ex...
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03/20/2020
Few-Shot Learning with Geometric Constraints
In this article, we consider the problem of few-shot learning for classi...
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09/27/2019
