[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 …
[HTML][HTML] Salient object detection: A survey
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …
object detection, has attracted great interest in computer vision. While many models have …
Unsupervised learning of image segmentation based on differentiable feature clustering
The usage of convolutional neural networks (CNNs) for unsupervised image segmentation
was investigated in this study. Similar to supervised image segmentation, the proposed CNN …
was investigated in this study. Similar to supervised image segmentation, the proposed CNN …
Reco: Retrieve and co-segment for zero-shot transfer
Semantic segmentation has a broad range of applications, but its real-world impact has
been significantly limited by the prohibitive annotation costs necessary to enable …
been significantly limited by the prohibitive annotation costs necessary to enable …
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation
S Zhang, J Zhang, B Tian, T Lukasiewicz, Z Xu - Medical Image Analysis, 2023 - Elsevier
Semi-supervised learning has a great potential in medical image segmentation tasks with a
few labeled data, but most of them only consider single-modal data. The excellent …
few labeled data, but most of them only consider single-modal data. The excellent …
Review of visual saliency detection with comprehensive information
The visual saliency detection model simulates the human visual system to perceive the
scene and has been widely used in many vision tasks. With the development of acquisition …
scene and has been widely used in many vision tasks. With the development of acquisition …
Visual saliency based on multiscale deep features
Visual saliency is a fundamental problem in both cognitive and computational sciences,
including computer vision. In this paper, we discover that a high-quality visual saliency …
including computer vision. In this paper, we discover that a high-quality visual saliency …
What's the point: Semantic segmentation with point supervision
The semantic image segmentation task presents a trade-off between test time accuracy and
training time annotation cost. Detailed per-pixel annotations enable training accurate …
training time annotation cost. Detailed per-pixel annotations enable training accurate …
A unified transformer framework for group-based segmentation: Co-segmentation, co-saliency detection and video salient object detection
Humans tend to mine objects by learning from a group of images or several frames of video
since we live in a dynamic world. In the computer vision area, many researchers focus on co …
since we live in a dynamic world. In the computer vision area, many researchers focus on co …
Global-and-local collaborative learning for co-salient object detection
The goal of co-salient object detection (CoSOD) is to discover salient objects that commonly
appear in a query group containing two or more relevant images. Therefore, how to …
appear in a query group containing two or more relevant images. Therefore, how to …