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08/10/2023
𝒢^2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Node classification is the task of predicting the labels of unlabeled no...
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07/26/2023
Entropy Neural Estimation for Graph Contrastive Learning
Contrastive learning on graphs aims at extracting distinguishable high-l...
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07/26/2023
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
Semi-supervised semantic segmentation (SSS) is an important task that ut...
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02/19/2023
Mutual Exclusive Modulator for Long-Tailed Recognition
The long-tailed recognition (LTR) is the task of learning high-performan...
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01/11/2022
Pyramid Fusion Transformer for Semantic Segmentation
The recently proposed MaskFormer <cit.> gives a refreshed perspective on...
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08/12/2020
Inter-Image Communication for Weakly Supervised Localization
Weakly supervised localization aims at finding target object regions usi...
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06/25/2020
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
We propose a novel 3D point cloud segmentation framework named SASO, whi...
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06/09/2020
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
Recently, remarkable progress has been made in weakly supervised object ...
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03/01/2020
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
We propose a novel fast and robust 3D point clouds segmentation framewor...
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10/22/2018
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation
One-shot semantic segmentation poses a challenging task of recognizing t...
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07/24/2018
Self-produced Guidance for Weakly-supervised Object Localization
Weakly supervised methods usually generate localization results based on...
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04/19/2018
Adversarial Complementary Learning for Weakly Supervised Object Localization
In this work, we propose Adversarial Complementary Learning (ACoL) to au...
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09/27/2016