Cervix type detection using a selfâsupervision boosted object detection technique
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22696
Abstract: Cervical cancer accounts for a large number of fatalities among cancer patients. It is ranked fourth in the total cancer patients and total number of deaths due to cancer. Developing countries account for 70% of… read more here.
Keywords: cervix type; supervision boosted; detection; self supervision ... See more keywords
Enhanced Text-to-Image Synthesis With Self-Supervision
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3268869
Abstract: The task of Text-to-Image synthesis is a difficult challenge, especially when dealing with low-data regimes, where the number of training samples is limited. In order to address this challenge, the Self-Supervision Text-to-Image Generative Adversarial Networks… read more here.
Keywords: text image; self supervision; image; image synthesis ... See more keywords
Caching in Narrow-Band Burst-Error Channels via Meta Self-Supervision Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3208941
Abstract: We consider a coordinated small-cell network in narrow-band deep fading channels, where the transmissions from small base-stations (SBSs) to users usually encounter burst errors. Each SBS has limited cache-capacity via which partial contents can be… read more here.
Keywords: supervision learning; narrow band; meta; self supervision ... See more keywords
Instance-Aware Multi-Object Self-Supervision for Monocular Depth Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3194951
Abstract: This letter proposes a self-supervised monocular image-to-depth prediction framework that is trained with an end-to-end photometric loss that handles not only $6-$DOF camera motion but also $6-$DOF moving object instances. Self-supervision is performed by warping… read more here.
Keywords: depth; tex math; inline formula; self supervision ... See more keywords
Self-Supervision-Augmented Deep Autoencoder for Unsupervised Visual Anomaly Detection.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3127716
Abstract: Deep autoencoder (AE) has demonstrated promising performances in visual anomaly detection (VAD). Learning normal patterns on normal data, deep AE is expected to yield larger reconstruction errors for anomalous samples, which is utilized as the… read more here.
Keywords: augmented deep; visual anomaly; self supervision; anomaly detection ... See more keywords
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3171583
Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations obey a specific distribution. Although they have shown… read more here.
Keywords: attributed graph; pseudo; graph; graph clustering ... See more keywords