moratorium 发表于 2025-3-26 23:27:53
Interlingua Machine Translationever, the independence of the dictionary on the visual features may lead to incorrect rectification of accurate visual predictions. In this paper, we propose a new dictionary language model leveraging the .cene .mage-.ext .atching(SITM) network, which avoids the drawbacks of the explicit dictionarypellagra 发表于 2025-3-27 04:01:20
http://reply.papertrans.cn/29/2824/282308/282308_32.pngAmbulatory 发表于 2025-3-27 06:55:09
http://reply.papertrans.cn/29/2824/282308/282308_33.png无法治愈 发表于 2025-3-27 11:36:40
Basic Terminology and Backgroundnd all current state-of-the-art models and have achieved excellent performance. However, the computational requirements of the transformer architecture makes training these methods slow and resource heavy. In this paper, we introduce a new token pruning strategy that significantly decreases training知道 发表于 2025-3-27 16:38:54
Translation Issues in Language and Lawer adverse weather conditions with poor visibility remains challenging. To address this problem, we propose a text image enhancement network that can be embedded into a scene text recognizer in a pluggable manner. This network comprises multiple sets of digital image processing (DIP) units, which arPHON 发表于 2025-3-27 21:00:33
Pitfalls of English as a Contract Languagetion is a challenging problem, while textual cues typically appear for a short time span, and early detection at a distance is necessary. Systems that exploit such information to assist the driver should not only extract and incorporate visual and textual cues from the video stream but also reason oInveterate 发表于 2025-3-27 22:01:15
http://reply.papertrans.cn/29/2824/282308/282308_37.png时代 发表于 2025-3-28 04:18:32
Document Analysis and Recognition - ICDAR 2023978-3-031-41731-3Series ISSN 0302-9743 Series E-ISSN 1611-3349中古 发表于 2025-3-28 06:16:58
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentationtion of domain specific layout structures, and is further exacerbated by real-world image degradations such as perspective distortions. We propose a lightweight, scalable and generalizable approach to identify text reading order with a multi-modal, multi-task graph convolutional network (GCN) runnin构成 发表于 2025-3-28 13:57:10
TDAE: Text Detection with Affinity Areas and Evolution Strategiesare robust to detect text of any shape. However, most previous works focus on word-level detection and neglect the regions between adjacent words, which are helpful when some text instances are very close. In this paper, we propose a novel image feature named affinity area that exploits the area bet