Attentive feature integration network for detecting salient objects in images
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.083
Abstract: Abstract Benefiting from the development of convolutional neural networks, salient object detection has yielded a qualitative leap in performance. In recent years, most of deep learning based methods utilize multi-level features and obtain inferred saliency… read more here.
Keywords: saliency; feature; attentive feature; feature integration ... See more keywords
Attentive Feature Augmentation for Long-Tailed Visual Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3161427
Abstract: Deep neural networks have achieved great success on many visual recognition tasks. However, training data with a long-tailed distribution dramatically degenerates the performance of recognition models. In order to relieve this imbalance problem, an effective… read more here.
Keywords: recognition; visual recognition; tailed visual; long tailed ... See more keywords
NextDet: Efficient Sparse-to-Dense Object Detection with Attentive Feature Aggregation
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14120355
Abstract: Object detection is a computer vision task of detecting instances of objects of a certain class, identifying types of objects, determining its location, and accurately labelling them in an input image or a video. The… read more here.
Keywords: sparse dense; attentive feature; detection; object detection ... See more keywords