BoCNF: efficient image matching with Bag of ConvNet features for scalable and robust visual place recognition
Sign Up to like & getrecommendations! Published in 2018 at "Autonomous Robots"
DOI: 10.1007/s10514-017-9684-3
Abstract: Recent advances in visual place recognition (VPR) have exploited ConvNet features to improve the recognition accuracy under significant environmental and viewpoint changes. However, it remains unsolved how to implement efficient image matching with high dimensional… read more here.
Keywords: image matching; convnet features; recognition; convnet ... See more keywords
Testing Convolutional Neural Networks for finding strong gravitational lenses in KiDS
Sign Up to like & getrecommendations! Published in 2018 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/sty2683
Abstract: Convolutional Neural Networks (ConvNets) are one of the most promising methods for identifying strong gravitational lens candidates in survey data. We present two ConvNet lens-finders that we have trained with a dataset composed of real… read more here.
Keywords: strong gravitational; neural networks; convolutional neural; convnet ... See more keywords
Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2899260
Abstract: A large community of research has been developed in recent years to analyze social media and social networks, with the aim of understanding, discovering insights, and exploiting the available information. The focus has shifted from… read more here.
Keywords: satt blstm; convnet; attention; sarcasm detection ... See more keywords
Robust ConvNet Landmark-Based Visual Place Recognition by Optimizing Landmark Matching
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2901984
Abstract: Visual place recognition (VPR) is a fundamental but challenging problem that has not been solved completely for a long time, especially in a kaleidoscopic environment. Recent advanced works which exploit ConvNet landmarks as a representation… read more here.
Keywords: convnet; place recognition; convnet landmark; landmark based ... See more keywords
Obscenity Detection in Videos Through a Sequential ConvNet Pipeline Classifier
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2022.3158613
Abstract: The amount of pornographic material available on the Web is staggering. This content is available freely on the Internet and without any restrictions which pose a threat to minors as they might be introduced to… read more here.
Keywords: detection videos; obscenity detection; convnet pipeline; convnet ... See more keywords
ConditionSenseNet: A Deep Interpolatory ConvNet for Bearing Intelligent Diagnosis Under Variational Working Conditions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3134273
Abstract: Deep learning, with its ability of feature mining and logical judgement, has been widely studied in industrial intelligent diagnosis, including bearing fault diagnosis. However, an explicable and representable expression of deep learning architecture for the… read more here.
Keywords: intelligent diagnosis; variational working; bearing intelligent; convnet ... See more keywords
Robust Online Tracking via Contrastive Spatio-Temporal Aware Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3050314
Abstract: Existing tracking-by-detection approaches using deep features have achieved promising results in recent years. However, these methods mainly exploit feature representations learned from individual static frames, thus paying little attention to the temporal smoothness between frames.… read more here.
Keywords: convnet; robust online; spatio temporal; online tracking ... See more keywords
Exploring generative perspective of convolutional neural networks by learning random field models
Sign Up to like & getrecommendations! Published in 2018 at "Statistics and Its Interface"
DOI: 10.4310/sii.2018.v11.n3.a13
Abstract: This paper studies the convolutional neural network (ConvNet or CNN) from a statistical modeling perspective. The ConvNet has proven to be a very successful discriminative learning machine. In this paper, we explore the generative perspective… read more here.
Keywords: field models; random field; convolutional neural; generative perspective ... See more keywords