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11/30/2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
The main challenge for fine-grained few-shot image classification is to ...
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06/02/2022
Multi-View Active Fine-Grained Recognition
As fine-grained visual classification (FGVC) being developed for decades...
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01/20/2022
Domain Generalization via Frequency-based Feature Disentanglement and Interaction
Data out-of-distribution is a meta-challenge for all statistical learnin...
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12/06/2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Despite great strides made on fine-grained visual classification (FGVC),...
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12/06/2021
Making a Bird AI Expert Work for You and Me
As powerful as fine-grained visual classification (FGVC) is, responding ...
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01/31/2021
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Fine-grained visual classification is a challenging task that recognizes...
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01/24/2021
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
Fine-grained visual classification (FGVC) is becoming an important resea...
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01/21/2021
Progressive Co-Attention Network for Fine-grained Visual Classification
Fine-grained visual classification aims to recognize images belonging to...
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12/21/2020
Knowledge Transfer Based Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to distinguish the sub-cl...
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11/18/2020
Your "Labrador" is My "Dog": Fine-Grained, or Not
Whether what you see in Figure 1 is a "labrador" or a "dog", is the ques...
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10/12/2020
CC-Loss: Channel Correlation Loss For Image Classification
The loss function is a key component in deep learning models. A commonly...
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04/20/2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
A deep neural network of multiple nonlinear layers forms a large functio...
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03/10/2020
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
Channel attention mechanisms, as the key components of some modern convo...
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03/09/2020
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
In this paper, we propose a dual-attention guided dropblock module, and ...
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03/08/2020
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Fine-grained visual classification (FGVC) is much more challenging than ...
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03/08/2020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
Unsupervised domain adaptation aims to leverage labeled data from a sour...
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02/11/2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Key for solving fine-grained image categorization is finding discriminat...
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02/09/2020