Relation Network
54 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Relation Network
Most implemented papers
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation
liuzhengzhe/One-Thing-One-Click
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CVPR 2021
Point cloud semantic segmentation often requires largescale annotated training data, but clearly, point-wise labels are too tedious to prepare.
1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop
wangqixun/mfpsg
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Panoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes.
FigureQA: An Annotated Figure Dataset for Visual Reasoning
vmichals/FigureQA-baseline
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ICLR 2018
To resolve, such questions often require reference to multiple plot elements and synthesis of information distributed spatially throughout a figure.
Appearance-and-Relation Networks for Video Classification
Specifically, SMART blocks decouple the spatiotemporal learning module into an appearance branch for spatial modeling and a relation branch for temporal modeling.
Actor-Centric Relation Network
open-mmlab/mmaction2
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ECCV 2018
A visualization of the learned relation features confirms that our approach is able to attend to the relevant relations for each action.
Learning to Learn Relation for Important People Detection in Still Images
DorBernsohn/TrainingDynamics
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CVPR 2019
In this work, we propose a deep imPOrtance relatIon NeTwork (POINT) that combines both relation modeling and feature learning.
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
The dominant approaches for named entity recognition (NER) mostly adopt complex recurrent neural networks (RNN), e. g., long-short-term-memory (LSTM).
Relation Network for Multi-label Aerial Image Classification
Particularly, our network consists of three elemental modules: 1) a label-wise feature parcel learning module, 2) an attentional region extraction module, and 3) a label relational inference module.
A Multi-level Neural Network for Implicit Causality Detection in Web Texts
shiningliang/Multi-level-Causality-Detection-Network
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Mining causality from text is a complex and crucial natural language understanding task corresponding to the human cognition.
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
2023-MindSpore-1/ms-code-214
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In this paper, we propose a novel Instance Relation Network (IRNet) for robust overlapping cell segmentation by exploring instance relation interaction.
