LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "visual categorization" as a keyword



Global Information-Assisted Fine-Grained Visual Categorization in Internet of Things

Sign Up to like & get
recommendations! 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 & get
recommendations! 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

Universal Fine-Grained Visual Categorization by Concept Guided Learning

Sign Up to like & get
recommendations! 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

Robust Fine-Grained Visual Categorization via Cyclical Attention.

Sign Up to like & get
recommendations! 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