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04/11/2023
PP-MobileSeg: Explore the Fast and Accurate Semantic Segmentation Model on Mobile Devices
The success of transformers in computer vision has led to several attemp...
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10/20/2022
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning
Interactive image segmentation aims at segmenting a target region throug...
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10/17/2022
EISeg: An Efficient Interactive Segmentation Tool based on PaddlePaddle
In recent years, the rapid development of deep learning has brought grea...
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09/28/2022
Exploring the Relationship between Architecture and Adversarially Robust Generalization
Adversarial training has been demonstrated to be one of the most effecti...
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04/20/2022
PP-Matting: High-Accuracy Natural Image Matting
Natural image matting is a fundamental and challenging computer vision t...
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04/06/2022
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
Real-world applications have high demands for semantic segmentation meth...
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12/14/2021
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset
As the COVID-19 pandemic rampages across the world, the demands of video...
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09/20/2021
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
High-quality training data play a key role in image segmentation tasks. ...
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09/11/2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
Deep neural networks (DNNs) are vulnerable to adversarial noises, which ...
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03/23/2021
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
Previous feature alignment methods in Unsupervised domain adaptation(UDA...
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03/01/2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Deep learning models are vulnerable to adversarial examples. As a more t...
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12/03/2020
