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03/17/2023
The Cascaded Forward Algorithm for Neural Network Training
Backpropagation algorithm has been widely used as a mainstream learning ...
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01/16/2023
Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Collaborative perception is essential to address occlusion and sensor fa...
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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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10/21/2021
MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
The RGB-infrared cross-modality person re-identification (ReID) task aim...
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09/01/2021
Joint Graph Learning and Matching for Semantic Feature Correspondence
In recent years, powered by the learned discriminative representation vi...
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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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02/25/2020
Cross-layer Feature Pyramid Network for Salient Object Detection
Feature pyramid network (FPN) based models, which fuse the semantics and...
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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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01/24/2019
Deep Reasoning with Multi-scale Context for Salient Object Detection
To detect and segment salient objects accurately, existing methods are u...
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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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05/19/2017
