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The visual relationship recognition (VRR) task aims at understanding the pairwise visual relationships between interacting objects in an image.
C4. 5, class imbalance, and cost sensitivity: why under-sampling beats over-sampling
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David Ha, Andrew Dai, and Quoc V Le · 2016
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Visual relationship detection with language priors
Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei · 2016
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Relay backpropagation for effective learning of deep convolutional neural networks
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Semi-supervised classification with graph convolutional networks
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
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Scene graph generation from objects, phrases and region captions
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Pixels to graphs by associative embedding
Alejandro Newell and Jia Deng · 2017
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Graph-structured representations for visual question answering
Damien Teney, Lingqiao Liu, and Anton van Den Hengel · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Learning to model the tail
Yu-Xiong Wang, Deva Ramanan, and Martial Hebert · 2017
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Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B Choy, and Li Fei-Fei · 2017
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Visual relationship detection with internal and external linguistic knowledge distillation
Ruichi Yu, Ang Li, Vlad I Morariu, and Larry S Davis · 2017
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Mapping images to scene graphs with permutation-invariant structured prediction
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, and Amir Globerson · 2018
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Image generation from scene graphs
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Learning to compose dynamic tree structures for visual contexts
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Auto-encoding scene graphs for image captioning
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Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 2019
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Large-scale visual relationship understanding
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, and Mohamed Elhoseiny · 2019
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Graphical contrastive losses for scene graph parsing
Ji Zhang, Kevin J Shih, Ahmed Elgammal, Andrew Tao, and Bryan Catanzaro · 2019
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On the bottleneck of graph neural networks and its practical implications
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Factorizable net: an efficient subgraph-based framework for scene graph generation
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Human-centric indoor scene synthesis using stochastic grammar
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Graph r-cnn for scene graph generation
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Exploring visual relationship for image captioning
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Neural motifs: Scene graph parsing with global context
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Knowledge-embedded routing network for scene graph generation
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Meshed-memory transformer for image captioning
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Equalization loss for long-tailed object recognition
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Unbiased scene graph generation from biased training
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A comprehensive survey on graph neural networks
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Speech transformer with speaker aware persistent memory
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Exploring long tail visual relationship recognition with large vocabulary
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Visual relationship detection with visual-linguistic knowledge from multimodal representations
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Energy-based learning for scene graph generation
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