Výsledky vyhledávání - Image coding for machines

Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks Autor Zhang, Zhongpeng, Liu, Ying

“…Image Coding for Machines (ICM) aims to develop systems and frameworks for image compression and transmission tailored for computer vision tasks such as object detection and instance segmentation…”
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Image Coding For Machines: an End-To-End Learned Approach Autor Le, Nam, Zhang, Honglei, Cricri, Francesco, Ghaznavi-Youvalari, Ramin, Rahtu, Esa

“…: how much better would an image codec targeting machine-consumption perform against state-of-the-art codecs targeting human-consumption…”
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Saliency Map-Guided End-to-End Image Coding for Machines Autor Peng, Bo, Lin, Tianxiang, Jin, Dengchao, Pan, Zhaoqing, Lei, Jianjun

“…Existing end-to-end image coding for machines (ICM) methods generally use joint training strategies to promote the compression efficiency for machine vision without considering the influence of different regions in the image…”
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Remote Sensing Image Coding for Machines on Semantic Segmentation via Contrastive Learning Autor Zhang, Junxi, Chen, Zhenzhong, Liu, Shan

“… In this article, we propose an image coding for machines (ICMs) paradigm based on contrastive learning in a fully supervised manner to boost semantic segmentation of compressed RSIs…”
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Bridging the Gap Between Image Coding for Machines and Humans Autor Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G., Rezazadegan Tavakoli, Hamed, Aksu, Emre, Hannuksela, Miska M., Rahtu, Esa

“…Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy…”
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Saliency-Driven Hierarchical Learned Image Coding for Machines Autor Fischer, Kristian, Brand, Fabian, Blum, Christian, Kaup, Andre

“…We propose to employ a saliency-driven hierarchical neural image compression network for a machine-to-machine communication scenario following the compress-then-analyze paradigm…”
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Side information-driven image coding for hybrid machine–human vision Autor Zhang, Zhongpeng, Liu, Ying, Peng, Wen-Hsiao

“…With the development of machine learning, advanced photography and image transmission systems, images are being processed more and more by machines, so image coding for machines (ICM) came…”
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Redundancy Removal Module for Reducing the Bitrates of Image Coding for Machines Autor Zhang, Zhongpeng, Liu, Ying

“… In order to solve these two problems at the same time, image coding for machines (ICM) came into being. At present, most ICM technologies combine traditional codecs…”
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Learning-based Image Coding for Machine Intelligence with Variable-Rate Autor Liu, Ao, Yu, Hualong, Liu, Jiawang, He, Qiqi, Yu, Lu

“…Image Coding for Machines (ICM) has yielded significant developments recently. Variable-rate support is necessary for image coding, while performance gap still…”
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GelSight dual-modal tactile data compression for machines Autor Zeng, Yaofeng, Lan, Chengdong, Xu, Yifeng

“…Existing image coding for machines methods usually optimize jointly with downstream tasks and transmit task-relevant information in a lossy manner, but they cannot meet the differentiated needs…”
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Rate-Distortion in Image Coding for Machines Autor Harell, Alon, De Andrade, Anderson, Bajic, Ivan V.

“… Thus, it is important to create specific image coding methods for joint use by humans and machines…”
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Image Coding for Machines with Object Region Learning Autor Shindo, Takahiro, Watanabe, Taiju, Yamada, Kein, Watanabe, Hiroshi

“… For this reason, research has been conducted on image coding for image recognition, and this field is called Image Coding for Machines (ICM…”
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NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines Autor Ahonen, Jukka I., Le, Nam, Zhang, Honglei, Hallapuro, Antti, Cricri, Francesco, Tavakoli, Hamed Rezazadegan, Hannuksela, Miska M., Rahtu, Esa

“… Recent research on image and video coding for machine analysis has progressed mainly in two almost orthogonal directions…”
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Side Information Driven Image Coding for Machines Autor Zhang, Zhongpeng, Liu, Ying

“… Image coding for machines (ICM) is to compress image data such that they can be more efficiently sent to the receiver side for machines to conduct visual analysis…”
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Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines Autor Fernandez-Menduina, Samuel, Pavez, Eduardo, Ortega, Antonio

“…With the increasing number of images and videos consumed by computer vision algorithms, compression methods are evolving to consider both perceptual quality and performance in downstream tasks…”
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Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection Autor Shindo, Takahiro, Watanabe, Taiju, Tatsumi, Yui, Watanabe, Hiroshi

“… This emerging field, known as Image Coding for Machines (ICM), has gained significant attention in recent years…”
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Region of Interest Enabled Learned Image Coding for Machines Autor Ahonen, Jukka I., Le, Nam, Zhang, Honglei, Cricri, Francesco, Rahtu, Esa

“…Image and video coding for machines has been recently gaining more and more interest from both the industry and the research community…”
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Bridging the gap between image coding for machines and humans Autor Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G, Tavakoli, Hamed Rezazadegan, Aksu, Emre, Hannuksela, Miska M, Rahtu, Esa

“…Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy…”
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End to End Scalable Image Coding for Machines Autor Wu, Zijun, Wang, Hanming, Wang, Huifen, Zhang, Yuan

“… This progress enables clear display of intricate details. However, to support downstream tasks such as object detection and semantic segmentation, image encoding in machine…”
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Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression Autor Shindo, Takahiro, Watanabe, Taiju, Tatsumi, Yui, Watanabe, Hiroshi

“…Image Coding for Machines (ICM) is becoming more important as research in computer vision progresses…”
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