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12/22/2021
Open-Vocabulary Image Segmentation
We design an open-vocabulary image segmentation model to organize an ima...
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12/13/2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Building instance segmentation models that are data-efficient and can ha...
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06/11/2020
Rethinking Pre-training and Self-training
Pre-training is a dominant paradigm in computer vision. For example, sup...
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12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
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06/26/2019
Learning Data Augmentation Strategies for Object Detection
Data augmentation is a critical component of training deep learning mode...
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11/21/2018
