Relation R-CNN: A Graph Based Relation-Aware Network for Object Detection
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DOI: 10.1109/lsp.2020.3025128
Abstract: Due to the deteriorated quality of feature in the propagation process of the neural network, it may be hard for traditional detector to identify a small object by just utilizing information within one region proposal.… read more here.
Keywords: relation aware; graph based; network; aware network ... See more keywords
Relation-Aware Facial Expression Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2021.3100131
Abstract: Research on facial expression recognition has been moving from the constrained lab scenarios to the in-the-wild situations and has made progress in recent years. However, it is still very challenging to deal with facial expression… read more here.
Keywords: relation aware; facial expression; expression recognition; expression ... See more keywords
Global Relation-Aware Contrast Learning for Unsupervised Person Re-Identification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3194084
Abstract: The goal of unsupervised person re-identification (Re-ID) is to use unlabeled person images to learn discriminative features. In recent years, many approaches have adopted clustered pseudo labels to construct proxies for contrastive learning, and have… read more here.
Keywords: relation aware; learning; unsupervised person; person identification ... See more keywords
Relation-Aware Attentive Neural Processes Model for Remaining Useful Life Prediction
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DOI: 10.1109/tim.2022.3204089
Abstract: For the remaining useful life (RUL) prediction task, the temporal information under the acquired data is crucial for prediction accuracy. The typical deep learning model for RUL prediction is mainly achieved by the recurrent neural… read more here.
Keywords: relation aware; prediction; model; neural processes ... See more keywords
SR-GNN: Spatial Relation-Aware Graph Neural Network for Fine-Grained Image Categorization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3205215
Abstract: Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition. This is mainly due to the strong ability of such networks in mining discriminative object pose… read more here.
Keywords: image; relation aware; graph neural; fine grained ... See more keywords
LR-GCN: Latent Relation-Aware Graph Convolutional Network for Conversational Emotion Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3117062
Abstract: As an intersection of artificial intelligence and human communication analysis, Emotion Recognition in Conversation (ERC) has attracted much research attention in recent years. Existing studies, however, are limited in adequately exploiting latent relations among the… read more here.
Keywords: network; relation aware; aware graph; graph ... See more keywords