research
∙
02/08/2023
Revisiting Deep Active Learning for Semantic Segmentation
Active learning automatically selects samples for annotation from a data...
share
research
∙
11/23/2022
Open-vocabulary Attribute Detection
Vision-language modeling has enabled open-vocabulary tasks where predict...
research
∙
05/12/2022
Localized Vision-Language Matching for Open-vocabulary Object Detection
In this work, we propose an open-world object detection method that, bas...
research
∙
02/18/2021
Essentials for Class Incremental Learning
Contemporary neural networks are limited in their ability to learn from ...
research
∙
12/11/2019
Parting with Illusions about Deep Active Learning
Active learning aims to reduce the high labeling cost involved in traini...
research
∙
08/15/2019