Fetching the paper…
Reading the bibliography…
Scene graph generation aims to identify objects and their relations in images, providing structured image representations that can facilitate numerous applications in computer vision.
Induction of decision trees
J. Ross Quinlan · 1986
Earlier work this paper cites.
Learning information extraction patterns from examples
Scott B Huffman · 1995
Earlier work this paper cites.
Relational learning of pattern-match rules for information extraction
R Mooney · 1999
Earlier work this paper cites.
Learning from labeled and unlabeled data with label propagation
Xiaojin Zhu and Zoubin Ghahramani · 2002
Earlier work this paper cites.
Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
Earlier work this paper cites.
Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers
Abhinav Gupta and Larry S Davis · 2008
Earlier work this paper cites.
Observing human-object interactions: Using spatial and functional compatibility for recognition
Abhinav Gupta, Aniruddha Kembhavi, and Larry S Davis · 2009
Earlier work this paper cites.
Distant supervision for relation extraction without labeled data
Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky · 2009
Earlier work this paper cites.
A review of multi-instance learning assumptions
James R. Foulds and Eibe Frank · 2010
Earlier work this paper cites.
Detecting actions, poses, and objects with relational phraselets
Chaitanya Desai and Deva Ramanan · 2012
Earlier work this paper cites.
Reporting bias and knowledge acquisition
Jonathan Gordon and Benjamin Van Durme · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao · 2014
Earlier work this paper cites.
Hico: A benchmark for recognizing human-object interactions in images
Yu-Wei Chao, Zhan Wang, Yugeng He, Jiaxuan Wang, and Jia Deng · 2015
Earlier work this paper cites.
Image retrieval using scene graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, and Li Fei-Fei · 2015
Earlier work this paper cites.
Learning semantic relationships for better action retrieval in images
Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Charles Rosenberg, and Li Fei-Fei · 2015
Earlier work this paper cites.
Faster R-CNN: towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Generating semantically precise scene graphs from textual descriptions for improved image retrieval
Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, and Christopher D Manning · 2015
Earlier work this paper cites.
Generating semantically precise scene graphs from textual descriptions for improved image retrieval
Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, and Christopher D. Manning · 2015
Earlier work this paper cites.
Distant supervision for relation extraction via piecewise convolutional neural networks
Daojian Zeng, Kang Liu, Yubo Chen, and Jun Zhao · 2015
Earlier work this paper cites.
Bidirectional long short-term memory networks for relation classification
Shu Zhang, Dequan Zheng, Xinchen Hu, and Ming Yang · 2015
Earlier work this paper cites.
Neural relation extraction with selective attention over instances
Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, and Maosong Sun · 2016
Earlier work this paper cites.
Visual relationship detection with language priors
Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei · 2016
Cited alongside, same era.
Situation recognition: Visual semantic role labeling for image understanding
Mark Yatskar, Luke Zettlemoyer, and Ali Farhadi · 2016
Cited alongside, same era.
Detecting visual relationships with deep relational networks
Bo Dai, Yuqi Zhang, and Dahua Lin · 2017
Cited alongside, same era.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
Cited alongside, same era.
Scene graph generation from objects, phrases and region captions
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
Co-teaching: Robust training of deep neural networks with extremely noisy labels
Masashi Sugiyama · 2018
Later among the works it cites.
Graph R-CNN for scene graph generation
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, and Devi Parikh · 2018
Later among the works it cites.
Neural motifs: Scene graph parsing with global context
Rowan Zellers, Mark Yatskar, Sam Thomson, and Yejin Choi · 2018
Later among the works it cites.
Knowledge-embedded routing network for scene graph generation
Tianshui Chen, Weihao Yu, Riquan Chen, and Liang Lin · 2019
Later among the works it cites.
Scene graph prediction with limited labels
Vincent S Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, and Li Fei-Fei · 2019
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Weakly-supervised learning of visual relations
Julia Peyre, Josef Sivic, Ivan Laptev, and Cordelia Schmid · 2017
Cited alongside, same era.
Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi · 2017
Cited alongside, same era.
Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
Cited alongside, same era.
Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B Choy, and Li Fei-Fei · 2017
Cited alongside, same era.
Visual translation embedding network for visual relation detection
Hanwang Zhang, Zawlin Kyaw, Shih-Fu Chang, and Tat-Seng Chua · 2017
Cited alongside, same era.
PPR-FCN: Weakly supervised visual relation detection via parallel pairwise R-FCN
Hanwang Zhang, Zawlin Kyaw, Jinyang Yu, and Shih-Fu Chang · 2017
Cited alongside, same era.
Later among the works it cites.
NOTE-RCNN: NOise Tolerant Ensemble RCNN for semi-supervised object detection
Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, and Ram Nevatia · 2019
Later among the works it cites.
Unpaired image captioning via scene graph alignments
Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Handong Zhao, Xu Yang, and Gang Wang · 2019
Later among the works it cites.
Learning by abstraction: The neural state machine
Drew A. Hudson and Christopher D. Manning · 2019
Later among the works it cites.
Learning to learn from noisy labeled data
Junnan Li, Yongkang Wong, Qi Zhao, and Mohan S Kankanhalli · 2019
Later among the works it cites.
Explainable and explicit visual reasoning over scene graphs
Jiaxin Shi, Hanwang Zhang, and Juanzi Li · 2019
Later among the works it cites.
Learning to compose dynamic tree structures for visual contexts
Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, and Wei Liu · 2019
Later among the works it cites.
Combating label noise in deep learning using abstention
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes, Gopinath Chennupati, and Jamal Mohd-Yusof · 2019
Later among the works it cites.
Auto-encoding scene graphs for image captioning
Xu Yang, Kaihua Tang, Hanwang Zhang, and Jianfei Cai · 2019
Later among the works it cites.
Docred: A large-scale document-level relation extraction dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, and Maosong Sun · 2019
Later among the works it cites.
Graphical contrastive losses for scene graph parsing
Ji Zhang, Kevin J Shih, Ahmed Elgammal, Andrew Tao, and Bryan Catanzaro · 2019
Later among the works it cites.
Explanation-based weakly-supervised learning of visual relations with graph networks
Federico Baldassarre, Kevin Smith, Josephine Sullivan, and Hossein Azizpour · 2020
Later among the works it cites.
Learning from noisy anchors for one-stage object detection
Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, and Larry S Davis · 2020
Later among the works it cites.
Noise-aware fully webly supervised object detection
Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng, Jianzhuang Liu, Mingliang Xu, and Qi Tian · 2020
Later among the works it cites.
Unbiased scene graph generation from biased training
Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, and Hanwang Zhang · 2020
Later among the works it cites.
Weakly supervised visual semantic parsing
Alireza Zareian, Svebor Karaman, and Shih-Fu Chang · 2020
Later among the works it cites.