Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition
Our work focuses on tackling the challenging but natural visual recognition task of long-
tailed data distribution (ie, a few classes occupy most of the data, while most classes have …
tailed data distribution (ie, a few classes occupy most of the data, while most classes have …
Long-tailed visual recognition with deep models: A methodological survey and evaluation
In the real world, large-scale datasets for visual recognition typically exhibit a long-tailed
distribution, where only a few classes contain adequate samples but the others have (much) …
distribution, where only a few classes contain adequate samples but the others have (much) …
Learning attention-guided pyramidal features for few-shot fine-grained recognition
Few-shot fine-grained recognition (FS-FGR) aims to distinguish several highly similar
objects from different sub-categories with limited supervision. However, traditional few-shot …
objects from different sub-categories with limited supervision. However, traditional few-shot …
Boosting few-shot fine-grained recognition with background suppression and foreground alignment
Few-shot fine-grained recognition (FS-FGR) aims to recognize novel fine-grained categories
with the help of limited available samples. Undoubtedly, this task inherits the main …
with the help of limited available samples. Undoubtedly, this task inherits the main …
Traumatic brain injury (TBI) detection: past, present, and future
Traumatic brain injury (TBI) can produce temporary biochemical imbalance due to leaks
through cell membranes or disruption of the axoplasmic flow due to the misalignment of …
through cell membranes or disruption of the axoplasmic flow due to the misalignment of …
Bag of tricks for long-tailed visual recognition with deep convolutional neural networks
In recent years, visual recognition on challenging long-tailed distributions, where classes
often exhibit extremely imbalanced frequencies, has made great progress mostly based on …
often exhibit extremely imbalanced frequencies, has made great progress mostly based on …
Sim-trans: Structure information modeling transformer for fine-grained visual categorization
Fine-grained visual categorization (FGVC) aims at recognizing objects from similar
subordinate categories, which is challenging and practical for human's accurate automatic …
subordinate categories, which is challenging and practical for human's accurate automatic …
Your" flamingo" is my" bird": Fine-grained, or not
Whether what you see in Figure 1 is a" flamingo" or a" bird", is the question we ask in this
paper. While fine-grained visual classification (FGVC) strives to arrive at the former, for the …
paper. While fine-grained visual classification (FGVC) strives to arrive at the former, for the …
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?
In this paper we propose a novel abstraction-aware sketch-based image retrieval framework
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …
capable of handling sketch abstraction at varied levels. Prior works had mainly focused on …
Isia food-500: A dataset for large-scale food recognition via stacked global-local attention network
Food recognition has received more and more attention in the multimedia community for its
various real-world applications, such as diet management and self-service restaurants. A …
various real-world applications, such as diet management and self-service restaurants. A …