Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-024-02260-y
Abstract: This paper presents a novel approach for Fine-Grained Visual Classification (FGVC) by exploring Graph Neural Networks (GNNs) to facilitate high-order feature interactions, with a specific focus on constructing both inter- and intra-region graphs. Unlike previous… read more here.
Keywords: order feature; grained visual; fine grained; high order ... See more keywords
Research on fine-grained visual classification based on salient object detection
Sign Up to like & getrecommendations! Published in 2025 at "Laser Physics"
DOI: 10.1088/1555-6611/adc558
Abstract: In response to the current algorithm of fine-grained image classification is greatly disturbed by complex backgrounds with similar features to the objects to be classified, salient object detection is introduced into fine-grained visual classification (FGVC),… read more here.
Keywords: classification; detection; grained visual; object detection ... See more keywords
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
The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3284405
Abstract: Weakly-supervised fine-grained visual categorization (FGVC) aims to achieve subclass classification within the same large class using only label information. Compared to general images, fine-grained images have similar appearances and features, and are often affected by… read more here.
Keywords: grained visual; image; weakly supervised; fine grained ... 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
Universal Fine-Grained Visual Categorization by Concept Guided Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3523802
Abstract: Existing fine-grained visual categorization (FGVC) methods assume that the fine-grained semantics rest in the informative parts of an image. This assumption works well on favorable front-view object-centric images, but can face great challenges in many… read more here.
Keywords: grained visual; fine grained; visual categorization; concept ... See more keywords
Toward Fine-Grained 3-D Visual Grounding Through Referring Textual Phrases
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3571959
Abstract: Recent progress in 3-D scene understanding has explored visual grounding [3D visual grounding (3DVG)] to localize a target object through a language description. However, existing methods only consider the dependency between the entire sentence and… read more here.
Keywords: grounding referring; grained visual; phrase; fine grained ... See more keywords
Robust Fine-Grained Visual Categorization via Cyclical Attention.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3608560
Abstract: Fine-grained visual categorization (FGVC) in open-world settings frequently encounters heavy occlusion (HO) samples that compromise discriminative features. However, effectively addressing heavy occlusion remains a challenge. Existing methods often either discard the occluded parts or utilize… read more here.
Keywords: grained visual; attention; fine grained; visual categorization ... See more keywords