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09/08/2023
Create Your World: Lifelong Text-to-Image Diffusion
Text-to-image generative models can produce diverse high-quality images ...
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08/24/2023
I3DOD: Towards Incremental 3D Object Detection via Prompting
3D object detection has achieved significant performance in many fields,...
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08/17/2023
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition
Incremental Named Entity Recognition (INER) involves the sequential lear...
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08/07/2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Class-incremental learning (CIL) has achieved remarkable successes in le...
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07/20/2023
Self-paced Weight Consolidation for Continual Learning
Continual learning algorithms which keep the parameters of new tasks clo...
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07/20/2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Incremental semantic segmentation aims to continually learn the segmenta...
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04/30/2023
Towards Computational Architecture of Liberty: A Comprehensive Survey on Deep Learning for Generating Virtual Architecture in the Metaverse
3D shape generation techniques utilizing deep learning are increasing at...
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04/14/2023
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Multi-organ segmentation, which identifies and separates different organ...
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04/10/2023
Federated Incremental Semantic Segmentation
Federated learning-based semantic segmentation (FSS) has drawn widesprea...
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03/11/2023
Xformer: Hybrid X-Shaped Transformer for Image Denoising
In this paper, we present a hybrid X-shaped vision Transformer, named Xf...
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02/20/2023
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation
3D object recognition has successfully become an appealing research topi...
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02/02/2023
No One Left Behind: Real-World Federated Class-Incremental Learning
Federated learning (FL) is a hot collaborative training framework via ag...
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10/26/2022
Is Out-of-Distribution Detection Learnable?
Supervised learning aims to train a classifier under the assumption that...
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08/15/2022
BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM
Loop closing is a fundamental part of simultaneous localization and mapp...
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06/13/2022
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
Feature extraction and matching are the basic parts of many computer vis...
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03/22/2022
Federated Class-Incremental Learning
Federated learning (FL) has attracted growing attention via data-private...
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12/09/2021
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Self-supervised learning has shown its great potential to extract powerf...
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08/26/2021
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
Shape correspondence from 3D deformation learning has attracted appealin...
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12/16/2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
3D object classification has attracted appealing attentions in academic ...
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12/08/2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Weakly-supervised learning has attracted growing research attention on m...
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08/24/2020
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Unsupervised domain adaptation without consuming annotation process for ...
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06/27/2020
Evolving Metric Learning for Incremental and Decremental Features
Online metric learning has been widely exploited for large-scale data cl...
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04/24/2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
Unsupervised domain adaptation has attracted growing research attention ...
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04/19/2020
Data Poisoning Attacks on Federated Machine Learning
Federated machine learning which enables resource constrained node devic...
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08/21/2019