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07/10/2023
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
New lesion segmentation is essential to estimate the disease progression...
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03/24/2023
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
Current methods for few-shot segmentation (FSSeg) have mainly focused on...
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03/14/2023
Modeling Continuous Motion for 3D Point Cloud Object Tracking
The task of 3D single object tracking (SOT) with LiDAR point clouds is c...
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03/09/2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Weakly-supervised point cloud segmentation with extremely limited labels...
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07/19/2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Weakly supervised point cloud segmentation, i.e. semantically segmenting...
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03/02/2022
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
Semi-supervised segmentation remains challenging in medical imaging sinc...
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08/17/2021
MV-TON: Memory-based Video Virtual Try-on network
With the development of Generative Adversarial Network, image-based virt...
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08/11/2021
Few-Shot Segmentation with Global and Local Contrastive Learning
In this work, we address the challenging task of few-shot segmentation. ...
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08/06/2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation
Currently, the state-of-the-art methods treat few-shot semantic segmenta...
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07/27/2021
Remember What You have drawn: Semantic Image Manipulation with Memory
Image manipulation with natural language, which aims to manipulate image...
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03/22/2020
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection
Fully supervised object detection has achieved great success in recent y...
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11/21/2018
M2E-Try On Net: Fashion from Model to Everyone
Most existing virtual try-on applications require clean clothes images. ...
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09/14/2018
