Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3030249
Abstract: The fine-grained visual classification (FGVC) which aims to distinguish subtle differences among subcategories is an important computer vision task. However, one issue that limits model performance is the problem of diversity within subcategories. To this… read more here.
Keywords: category similarity; based distributed; grained visual; fine grained ... See more keywords
Global Information-Assisted Fine-Grained Visual Categorization in Internet of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3218150
Abstract: In fine-grained visual categorization (FGVC), most part-based frameworks do not work effectively in some extremely challenging scenarios such as partial occlusion. This limitation is due to the heavy disorder of local features extracted from such… read more here.
Keywords: information; global information; grained visual; information assisted ... See more keywords
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2813971
Abstract: Fine-grained visual recognition is an important problem in pattern recognition applications. However, it is a challenging task due to the subtle interclass difference and large intraclass variation. Recent visual attention models are able to automatically… read more here.
Keywords: attention; grained visual; visual recognition; fine grained ... See more keywords
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3055617
Abstract: Classifying the sub-categories of an object from the same super-category (e.g., bird species and cars) in fine-grained visual classification (FGVC) highly relies on discriminative feature representation and accurate region localization. Existing approaches mainly focus on… read more here.
Keywords: attention; grained visual; cnn; fine grained ... See more keywords