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Semantic Customers’ Segmentation
2019Many approaches have been proposed to allow customers’ segmentation in retail sector. However, very few contributions exploit the existing semantics links that may exist between objects and resulting groups. The aim of this paper is to overcome this drawback by using semantic similarity measures (SSM) in customers’ segmentation to provide clusters ...
Jocelyn Poncelet +3 more
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TrSeg: Transformer for semantic segmentation
Pattern Recognition Letters, 2021Abstract Recent efforts in semantic segmentation using deep learning frameworks have made notable advances. However, capturing the existence of objects in an image at multiple scales still remains a challenge. In this paper, we address the semantic segmentation task based on transformer architecture.
Youngsaeng Jin, David K. Han, Hanseok Ko
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Semantic Segmentation without Annotating Segments
2013 IEEE International Conference on Computer Vision, 2013Numerous existing object segmentation frameworks commonly utilize the object bounding box as a prior. In this paper, we address semantic segmentation assuming that object bounding boxes are provided by object detectors, but no training data with annotated segments are available.
Wei Xia +4 more
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Knowledge Reasoning for Semantic Segmentation
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021The convolution operation suffers from a limited receptive field, while global modeling is fundamental to dense prediction tasks, such as semantic segmentation. However, most existing methods treat the recognition of each region separately and overlook crucial global semantic relations between regions in one scene.
Shengjia Chen +2 more
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Efficient transductive semantic segmentation
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016Semantically describing the contents of images is one of the classical problems of computer vision. With huge numbers of images being made available daily, there is increasing interest in methods for semantic pixel labelling that exploit large image sets.
Alvarez, Jose M. +2 more
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Context-Reinforced Semantic Segmentation
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019Recent efforts have shown the importance of context on deep convolutional neural network based semantic segmentation. Among others, the predicted segmentation map (p-map) itself which encodes rich high-level semantic cues (e.g. objects and layout) can be regarded as a promising source of context.
Yizhou Zhou +3 more
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Transferable Attacks for Semantic Segmentation
We analyze the performance of semantic segmentation models w.r.t. adversarial attacks. We observe that the adversarial examples generated from a source model fail to attack the target models, i.e. the conventional attack methods [1, 2] do not transfer well to the target models, making it necessary to study the transferable attacks, in particular ...Mengqi He, Jing Zhang 0052, Xin Yu 0002
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Semantic Segmentation with Peripheral Vision
2020Deep convolutional neural networks exhibit exceptional performance on many computer vision tasks, including image semantic segmentation. Pre-trained networks trained on a relevant and large benchmark have a notable impact on these successful achievements.
Mohammad Hamed Mozaffari, Won-Sook Lee
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Attention Forest for Semantic Segmentation
2018Semantic segmentation is a classical task in computer vision. In this paper, we target to address the low confidence regions which traditional CNN can not solve very well in semantic segmentation task. Depending on different characteristics of low confidence regions, an adaptive and robust attention mechanism is important to focus on the informative ...
Jingbo Wang 0003, Yajie Xing, Gang Zeng
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Semantic Co-segmentation in Videos
2016Discovering and segmenting objects in videos is a challenging task due to large variations of objects in appearances, deformed shapes and cluttered backgrounds. In this paper, we propose to segment objects and understand their visual semantics from a collection of videos that link to each other, which we refer to as semantic co-segmentation.
Yi-Hsuan Tsai +2 more
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