Generating an image of a kanji character did not transfer at test to the decision as to whether the visually presented kanji character was vertically segmented or not, whereas it did transfer to a semantic decision as to whether the kanji character had a concrete or abstract meaning. Seeing a...
With segmentation, an image is divided into a set of non-overlapping regions, each with its particular shape, border, and semantic meaning. When applied to multiple tissue compartments, i.e., in a multi-class fashion, tissue segmentation can allow to distinguish the tumor from other tissues, ...
In this paper we investigated how well can human segmented images be used as references in evaluating segmentation algorithms. A set of experiments based on marks is done, to check how well do humans agree on the same segmented image. We show that humans segment im- ages very similarly, even...
ImPartial augments the segmentation objective via self-supervised multi-channel quantized imputation, meaning that each class of the segmentation objective can be characterized by a mixture of distributions. This is based on the observation that perfect pixel-wise reconstruction or denoising of the image...
Image segmentation is a process of identifying sub patterns in a given image. The purpose of skin cancer image segmentation is to represent it ina meaningf... B Lakshmi - 《International Journal of Recent Technology & Engineering》 被引量: 0发表: 2020年 Research on Image-Based Detection and ...
Recent work has demonstrated that generative models (especially diffusion models) can memorize the training images8,9,10, meaning that the synthetic images are just copies of the training images. As this questions the validity of sharing synthetic medical images, it is thoroughly discussed at the ...
Composite utterances are utterances that are built from multiple signs of multiple types, meaning that in any conversational 'move' speech, gestures, eye-g... Terry,Janzen - 《Cognitive Linguistics》 被引量: 6发表: 2017年 The multimodal texture of engagement: Prosodic language, gaze and posture...
It has significant and practical meaning to use fixed camera stands to detect smoke. As the r... W Chengkun,Z Jinqiu,Y Jiale,... - International Conference on 6gn for Future Wireless Networks 被引量: 0发表: 2024年 U-Net Inspired Deep Neural Network-Based Smoke Plume Detection in ...
CNNs provide the benefit that their learned features are translationally equivariant, meaning that image features can be recognized regardless of their position in the image. This makes such models useful for processing images with multiple similar features, and robust against variation in position or ...
Reduced sensitivity is due to an increase in false negatives (FNs), meaning the algorithm fails to predict the specific class and suggests the pixel belongs to the background or to an incorrect foreground class. Analog, a reduced specificity is caused by an increase in false positives (FPs)....