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03/20/2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Semi-supervised learning (SSL) has attracted enormous attention due to i...
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02/10/2023
Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues
Newcomers are critical for the success and continuity of open source sof...
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09/16/2022
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning
Weakly supervised point cloud semantic segmentation methods that require...
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08/30/2022
Boosting Night-time Scene Parsing with Learnable Frequency
Night-Time Scene Parsing (NTSP) is essential to many vision applications...
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08/19/2022
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation
It is well known that translations generated by an excellent document-le...
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06/08/2022
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Since the pandemic of COVID-19, several deep learning methods were propo...
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03/04/2022
Rethinking Efficient Lane Detection via Curve Modeling
This paper presents a novel parametric curve-based method for lane detec...
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06/18/2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Novelty detection is the process of determining whether a query example ...
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05/21/2021
Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning
Hidden features in neural network usually fail to learn informative repr...
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03/09/2021
Instance and Pair-Aware Dynamic Networks for Re-Identification
Re-identification (ReID) is to identify the same instance across differe...
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01/07/2021
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Boundary information plays a significant role in 2D image segmentation, ...
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01/04/2021
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Salient object detection aims at detecting the most visually distinct ob...
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01/04/2021
Are Eliminated Spans Useless for Coreference Resolution? Not at all
Various neural-based methods have been proposed so far for joint mention...
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05/03/2020
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help
Context. As a novel coronavirus swept the world in early 2020, thousands...
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04/19/2020
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt existing models of th...
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04/18/2020
Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
In this work, we propose a novel and concise approach for semi-supervise...
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03/15/2020
Night-time Semantic Segmentation with a Large Real Dataset
Although huge progress has been made on semantic segmentation in recent ...
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01/24/2020
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
Besides local features, global information plays an essential role in se...
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09/18/2019
Re-ID Driven Localization Refinement for Person Search
Person search aims at localizing and identifying a query person from a g...
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03/26/2019
FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds
3D object detection from raw and sparse point clouds has been far less t...
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08/05/2018