The relative contributions of visual and semantic information in the neural representation of object categories
Sign Up to like & getrecommendations! Published in 2019 at "Brain and Behavior"
DOI: 10.1002/brb3.1373
Abstract: How do multiple sources of information interact to form mental representations of object categories? It is commonly held that object categories reflect the integration of perceptual features and semantic/knowledge‐based features. To explore the relative contributions… read more here.
Keywords: information; relative contributions; representation object; visual semantic ... See more keywords
Few-labeled visual recognition for self-driving using multi-view visual-semantic representation
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DOI: 10.1016/j.neucom.2020.02.128
Abstract: Abstract For a car self-driving system, it is vital to accurately recognize the objects on the road. This is often achieved by analyzing the images captured by various cameras. However, in real applications, we often… read more here.
Keywords: view visual; self driving; multi view; semantic representation ... See more keywords
Shared neural codes for visual and semantic information about familiar faces in a common representational space
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2110474118
Abstract: Significance Our brain processes faces of close others differently than faces of visually familiar individuals. While both types of faces activate similar visual areas, faces of close others activate areas involved in processing social and… read more here.
Keywords: personally familiar; information familiar; semantic information; visual semantic ... See more keywords
Application of a graph convolutional network with visual and semantic features to classify urban scenes
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2048834
Abstract: Abstract Urban scenes consist of visual and semantic features and exhibit spatial relationships among land-use types (e.g. industrial areas are far away from the residential zones). This study applied a graph convolutional network with neighborhood… read more here.
Keywords: graph convolutional; network; visual semantic; convolutional network ... See more keywords
Visual and Semantic Representations Predict Subsequent Memory in Perceptual and Conceptual Memory Tests.
Sign Up to like & getrecommendations! Published in 2020 at "Cerebral cortex"
DOI: 10.1093/cercor/bhaa269
Abstract: It is generally assumed that the encoding of a single event generates multiple memory representations, which contribute differently to subsequent episodic memory. We used functional magnetic resonance imaging (fMRI) and representational similarity analysis to examine… read more here.
Keywords: perceptual memory; semantic representations; subsequent memory; visual semantic ... See more keywords
Regularizing Visual Semantic Embedding With Contrastive Learning for Image-Text Matching
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DOI: 10.1109/lsp.2022.3178899
Abstract: Learning visual semantic embedding for image-text matching has achieved high success by using triplet loss to pull positive image-text pairs which share similar semantic meaning and to push negative image-text pairs which share different semantic… read more here.
Keywords: image text; semantic embedding; visual semantic; text pairs ... See more keywords
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3082292
Abstract: Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling capabilities to the ZSL task, its visual features have severe… read more here.
Keywords: visual semantic; zero shot; visual features; graph ... See more keywords
Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3122542
Abstract: Medical image report generation (MeIRG) aims at generating associated diagnosis descriptions with natural language sentences from medical images, which is essential in the computer-aided diagnosis system. Nevertheless, this task remains challenging in that medical images… read more here.
Keywords: visual semantic; report generation; report; medical image ... See more keywords
Adaptive Ladder Loss for Learning Coherent Visual-Semantic Embedding
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3139210
Abstract: For visual-semantic embedding, the existing methods normally treat the relevance between queries and candidates in a bipolar way – relevant or irrelevant, and all “irrelevant” candidates are uniformly pushed away from the query by an… read more here.
Keywords: relevance; semantic embedding; visual semantic; ladder loss ... See more keywords
Polarity Loss: Improving Visual-Semantic Alignment for Zero-Shot Detection.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184821
Abstract: Conventional object detection models require large amounts of training data. In comparison, humans can recognize previously unseen objects by merely knowing their semantic description. To mimic similar behavior, zero-shot object detection (ZSD) aims to recognize… read more here.
Keywords: semantic alignment; visual semantic; polarity loss; detection ... See more keywords
Neighboring Algorithm for Visual Semantic Analysis toward GAN-Generated Pictures
Sign Up to like & getrecommendations! Published in 2022 at "Applied Bionics and Biomechanics"
DOI: 10.1155/2022/2188152
Abstract: Generative adversarial network (GAN)-guided visual quality evaluation means scoring GAN-propagated portraits to quantify the degree of visual distortions. In general, there are very few image- and character-evaluation algorithms generated by GAN, and the algorithm's athletic… read more here.
Keywords: semantic analysis; evaluation; visual semantic; algorithm visual ... See more keywords