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08/21/2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
In this paper, we consider a real-world scenario where a model that is t...
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07/17/2023
Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification
Visible-Infrared person Re-IDentification (VI-ReID) is a challenging cro...
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04/21/2023
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
Multi-label image recognition aims to predict a set of labels that prese...
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01/05/2022
Deep Probabilistic Graph Matching
Most previous learning-based graph matching algorithms solve the quadrat...
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01/05/2022
GLAN: A Graph-based Linear Assignment Network
Differentiable solvers for the linear assignment problem (LAP) have attr...
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11/11/2021
Clicking Matters:Towards Interactive Human Parsing
In this work, we focus on Interactive Human Parsing (IHP), which aims to...
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10/18/2021
CMTR: Cross-modality Transformer for Visible-infrared Person Re-identification
Visible-infrared cross-modality person re-identification is a challengin...
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04/30/2021
GM-MLIC: Graph Matching based Multi-Label Image Classification
Multi-Label Image Classification (MLIC) aims to predict a set of labels ...
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02/26/2021
A Universal Model for Cross Modality Mapping by Relational Reasoning
With the aim of matching a pair of instances from two different modaliti...
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10/30/2020
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
In the past few decades, to reduce the risk of X-ray in computed tomogra...
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06/03/2019
HERA: Partial Label Learning by Combining Heterogeneous Loss with Sparse and Low-Rank Regularization
Partial Label Learning (PLL) aims to learn from the data where each trai...
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05/25/2019
Domain Adaptive Attention Model for Unsupervised Cross-Domain Person Re-Identification
Person re-identification (Re-ID) across multiple datasets is a challengi...
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01/10/2019
GM-PLL: Graph Matching based Partial Label Learning
Partial Label Learning (PLL) aims to learn from the data where each trai...
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04/20/2018
