[HTML][HTML] Review of large vision models and visual prompt engineering
Visual prompt engineering is a fundamental methodology in the field of visual and image
artificial general intelligence. As the development of large vision models progresses, the …
artificial general intelligence. As the development of large vision models progresses, the …
A survey on active learning and human-in-the-loop deep learning for medical image analysis
Fully automatic deep learning has become the state-of-the-art technique for many tasks
including image acquisition, analysis and interpretation, and for the extraction of clinically …
including image acquisition, analysis and interpretation, and for the extraction of clinically …
Focalclick: Towards practical interactive image segmentation
X Chen, Z Zhao, Y Zhang, M Duan… - Proceedings of the …, 2022 - openaccess.thecvf.com
Interactive segmentation allows users to extract target masks by making positive/negative
clicks. Although explored by many previous works, there is still a gap between academic …
clicks. Although explored by many previous works, there is still a gap between academic …
Simpleclick: Interactive image segmentation with simple vision transformers
Click-based interactive image segmentation aims at extracting objects with a limited user
clicking. A hierarchical backbone is the de-facto architecture for current methods. Recently …
clicking. A hierarchical backbone is the de-facto architecture for current methods. Recently …
Reviving iterative training with mask guidance for interactive segmentation
Recent works on click-based interactive segmentation have demonstrated state-of-the-art
results by using various inference-time optimization schemes. These methods are …
results by using various inference-time optimization schemes. These methods are …
f-brs: Rethinking backpropagating refinement for interactive segmentation
Deep neural networks have become a mainstream approach to interactive segmentation. As
we show in our experiments, while for some images a trained network provides accurate …
we show in our experiments, while for some images a trained network provides accurate …
Conditional diffusion for interactive segmentation
X Chen, Z Zhao, F Yu, Y Zhang… - Proceedings of the …, 2021 - openaccess.thecvf.com
In click-based interactive segmentation, the mask extraction process is dictated by
positive/negative user clicks; however, most existing methods do not fully exploit the user …
positive/negative user clicks; however, most existing methods do not fully exploit the user …
Edgeflow: Achieving practical interactive segmentation with edge-guided flow
Y Hao, Y Liu, Z Wu, L Han, Y Chen… - Proceedings of the …, 2021 - openaccess.thecvf.com
High-quality training data play a key role in image segmentation tasks. Usually, pixel-level
annotations are expensive, laborious and time-consuming for the large volume of training …
annotations are expensive, laborious and time-consuming for the large volume of training …
Interactive image segmentation with first click attention
In the task of interactive image segmentation, users initially click one point to segment the
main body of the target object and then provide more points on mislabeled regions …
main body of the target object and then provide more points on mislabeled regions …
Focuscut: Diving into a focus view in interactive segmentation
Interactive image segmentation is an essential tool in pixel-level annotation and image
editing. To obtain a high-precision binary segmentation mask, users tend to add interaction …
editing. To obtain a high-precision binary segmentation mask, users tend to add interaction …