Results 61 to 70 of about 104,311 (276)
TVPRNN for image caption generation
Electronics Letters, 2017 Image caption generation has attracted considerable interest in computer vision and natural language processes. However, existing methods usually use convolution neural network (CNN) for extracting image feature and recurrent NN (RNN) to predict next produced word, which may make the obtained features unadaptable to the word generated at current time ...
Liang Yang, Haifeng Hu
openaire +1 more source
Advanced Functional Materials, EarlyView.Polymorph engineering in ErMnO3 enables low‐voltage, forming‐free threshold switching with tunable negative differential resistance. Conducting orthorhombic regions embedded in an insulating hexagonal matrix provide controlled Joule‐heating‐enhanced Poole–Frenkel transport. The hexagonal phase prevents excessive heating and breakdown.
Rong Wu +8 more
wiley +1 more source
Exploring Pre-Trained Model and Language Model for Translating Image to Bahasa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 In the last decade, there have been significant developments in Image Caption Generation research to translate images into English descriptions. This task has also been conducted to produce texts in non-English, including Bahasa.
Ade Nurhopipah +2 more
doaj +1 more source
Image Representations and New Domains in Neural Image Captioning
, 2015 We examine the possibility that recent promising results in automatic caption generation are due primarily to language models. By varying image representation quality produced by a convolutional neural network, we find that a state-of-the-art neural ...
Hessel, Jack +2 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng +16 more
wiley +1 more source
Lifelogging caption generation via fourth-person vision in a human–robot symbiotic environment
ROBOMECH Journal, 2020 Automatic analysis of our daily lives and activities through a first-person lifelog camera provides us with opportunities to improve our life rhythms or to support our limited visual memories.
Kazuto Nakashima +2 more
doaj +1 more source
Image Captioning with Semantic Attention
, 2016 Automatically generating a natural language description of an image has attracted interests recently both because of its importance in practical applications and because it connects two major artificial intelligence fields: computer vision and natural ...
Fang, Chen +4 more
core +1 more source
Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells
Advanced Healthcare Materials, EarlyView.Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli +17 more
wiley +1 more source
Clue: Cross-modal Coherence Modeling for Caption Generation
, 2020 We use coherence relations inspired by computational models of discourse to study the information needs and goals of image captioning. Using an annotation protocol specifically devised for capturing image--caption coherence relations, we annotate 10,000 ...
Alikhani, Malihe +4 more
core
Video Captioning via Hierarchical Reinforcement Learning
, 2018 Video captioning is the task of automatically generating a textual description of the actions in a video. Although previous work (e.g. sequence-to-sequence model) has shown promising results in abstracting a coarse description of a short video, it is ...
Chen, Wenhu +4 more
core +1 more source