Results 31 to 40 of about 6,892,691 (254)
Dynamic Guided Multimodal Entity Alignment Based on Image Confidence [PDF]
Multimodal entity alignment identifies entities across different knowledge graphs that refer to the same real-world object and integrates these knowledge graphs. However, the inherent noise present in images, which are critical carriers of information in
ZHANG Xiaoming, CHEN Tongqing, WANG Huiyong
doaj +1 more source
Crop stand count and uniformity are important measures for making proper field management decisions to improve crop production. Conventional methods for evaluating stand count based on visual observation are time consuming and labor intensive, making it ...
Aijing Feng +3 more
semanticscholar +1 more source
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment [PDF]
Despite the great progress made by deep CNNs in image semantic segmentation, they typically require a large number of densely-annotated images for training and are difficult to generalize to unseen object categories.
Kaixin Wang +4 more
semanticscholar +1 more source
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding [PDF]
We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large transformer language models in understanding text and hinges on the strength ...
Chitwan Saharia +13 more
semanticscholar +1 more source
Fundamental Limits in Multi-Image Alignment [PDF]
The performance of multi-image alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions. A great amount of effort is being invested into developing methods to solve this problem. Several important questions thus arise, including: Which are the fundamental limits
Aguerrebere, Cecilia +3 more
openaire +2 more sources
Calibration Alignment Sensitivity in Corneal Terahertz Imaging
Improving the longitudinal modes coupling in layered spherical structure contributes significantly to corneal terahertz sensing, which plays a crucial role in the early diagnosis of cornea dystrophies. Using a steel sphere to calibrate reflection from the cornea sample assists in enhancing the resolution of longitudinal modes.
Baggio, Mariangela +10 more
openaire +5 more sources
The foreground segmentation method is a crucial first step for many video analysis methods such as action recognition and object tracking. In the past five years, convolutional neural network based foreground segmentation methods have made a great ...
Ye Tao, Zhihao Ling
doaj +1 more source
Cross-Weather Image Alignment via Latent Generative Model With Intensity Consistency
Image alignment/registration/correspondence is a critical prerequisite for many vision-based tasks, and it has been widely studied in computer vision. However, aligning images from different domains, such as cross-weather/season road scenes, remains a ...
Huabing Zhou +4 more
semanticscholar +1 more source
CleanPage: Fast and Clean Document and Whiteboard Capture
The move from paper to online is not only necessary for remote working, it is also significantly more sustainable. This trend has seen a rising need for the high-quality digitization of content from pages and whiteboards to sharable online material ...
Jane Courtney
doaj +1 more source
Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification
Thermal infrared measurements acquired with unmanned aerial systems (UAS) allow for high spatial resolution and flexibility in the time of image acquisition to assess ground surface temperature.
Veronika Döpper +3 more
semanticscholar +1 more source

