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Focusing on your subject: Deep subject-aware image composition recommendation networks
Photo composition is one of the most important factors in the aesthetics of photographs. As a popular application, composition recommendation for a...
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Dual attention composition network for fashion image retrieval with attribute manipulation
Due to practical demands and substantial potential benefits, there is growing interest in fashion image retrieval with attribute manipulation. For...
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Application Composition Platform Architecture
The special feature of a development platform for a composable enterprises is the support of the ″composable″ paradigm. This means providing methods...
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Natural Image Matting with Attended Global Context
Image matting is to estimate the opacity of foreground objects from an image. A few deep learning based methods have been proposed for image matting...
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Composition and Deployment
In this chapter, we first present Zoo, a script subsystem we have originally developed for OCaml file sharing. We will introduce how it is used and...
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Adversarial Image Composition with Auxiliary Illumination
Dealing with the inconsistency between a foreground object and a background image is a challenging task in high-fidelity image composition....
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MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
Convolutional neural networks (CNNs) have achieved remarkable segmentation accuracy on benchmark datasets where training and test sets are from the...
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Image Segmentation Algorithms Composition for Obtaining Accurate Masks of Tomato Leaf Instances
Large agro-industrial complexes are interested in deep automation of the yields control processes to reduce costs caused by errors or a shortage of...
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An efficient Dense-Resnet for multimodal image fusion using medical image
Nowadays, the visual content of various medical images is increased through multimodal image fusion to gather more information from medical images....
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A review of image features extraction techniques and their applications in image forensic
In these modern days, digital images become prominent information on the Internet and Social Media. The images can have a number of features with...
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Descriptive Image Analysis
AbstractAn overview of the main methods, models, and results of Descriptive Image Analysis is given. Descriptive Image Analysis is a logically...
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Synchronous composition and semantic line detection based on cross-attention
Composition detection and semantic line detection are important research topics in computer vision and play an important auxiliary role in the...
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Robust Image Crop** by Filtering Composition Irrelevant Factors
Numerous factors can impact the aesthetic quality of images: composition, resolution, exposure, color saturation and so on. Image crop** is to...
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A survey on the utilization of Superpixel image for clustering based image segmentation
Superpixel become increasingly popular in image segmentation field as it greatly helps image segmentation techniques to segment the region of...
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Image-to-image domain adaptation for vehicle re-identification
Cross-domain vehicle re-identification (ReID) is an interesting but challenging task in computer vision. A ReID model well-trained on one dataset...
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Image de-photobombing benchmark
Removing photobombing elements from images is a challenging task that requires sophisticated image inpainting techniques. Despite the availability of...
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Deep image matting with cross-layer contextual information propagation
Natural image matting focuses on accurately estimating the opacity of the foreground object in an arbitrary background. Recently, deep learning-based...
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EENet: embedding enhancement network for compositional image-text retrieval using generated text
In this paper, we consider the compositional image-text retrieval task, which searches for appropriate target images given a reference image with...
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Image Inpainting by Machine Learning Algorithms
AbstractImage inpainting is the process of filling in missing or damaged areas of images. In recent years, this area has received significant...
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Learning to compose diversified prompts for image emotion classification
Image emotion classification (IEC) aims to extract the abstract emotions evoked in images. Recently, language-supervised methods such as contrastive...
