A curated list of visual relationship detection and related area (e.g. object detection, scene graph) resources, inspired by awesome-computer-vision.
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NIPS 2017- Pixels to Graphs by Associative Embedding Alejandro -et al.[offical code] -
2018- Attentive Relational Networks for Mapping Images to Scene Graphs Mengshi Qi et al. -
AAAI 2019- Large-Scale Visual Relationship Understanding - Ji Zhang et al, AAAI 2019. -
2018- Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions - Stephan Baier et al. -
AAAI 2018- Visual Relationship Detection with Deep Structural Ranking - Kongming Liang et al, AAAI 2018, [official pytorch=0.2.0 code]. -
ECCV 2018- Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information - Hsuan-Kung Yang et al, ECCV 2018 workshop. -
ECCV 2018- Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features - Xu Yang et al, ECCV 2018, [tensorflow] -
CVPR 2018- Relation Networks for Object Detection - Han Hu et al, CVPR 2018 oral paper, [official MXNet code], [pytorch]. -
CVPR 2018- Tensorize, Factorize and Regularize: Robust Visual Relationship Learning - Seong Jae Hwang et al, CVPR 2018. -
CVPR 2018- Referring Relationships - Ranjay Krishna et al, , [official keras code]. -
ICME 2018- Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation - François Plesse et al, ICME 2018. -
2018- Natural Language Guided Visual Relationship Detection - Wentong Liao et al. -
ACM MM 2018- Context-Dependent Diffusion Network for Visual Relationship Detection - Zhen Cui et al, 2018 ACM Multimedia Conference. -
ICCV 2017- PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN - Hanwang Zhang et al, ICCV 2017. [official Matlab code] -
ICCV 2017- Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues - Bryan A. Plummer et al, ICCV 2017, [official Matlab code]. -
ICCV 2017- Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation - Ruichi Yu et al, ICCV 2017. -
ICCV 2017- Weakly-supervised learning of visual relations - Julia Peyre et al, ICCV 2017, [official Matlab code]. -
CVPR 2017- Detecting Visual Relationships with Deep Relational Networks - Bo Dai et al, CVPR 2017 oral, [official caffe code] -
CVPR 2017- ViP-CNN: Visual Phrase Guided Convolutional Neural Network - Yikang Li et al, CVPR 2017. -
CVPR 2017- Scene Graph Generation by Iterative Message Passing - Danfei Xu et al, CVPR 2017. -
CVPR 2017- Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection - Xiaodan Liang et al, CVPR 2017, [pytorch]. -
CVPR 2017- Relationship Proposal Networks - Ji Zhang et al, CVPR 2017. -
CVPR 2017- Visual Translation Embedding Network for Visual Relation Detection - Hanwang Zhang et al, CVPR 2017. -
ECCV 2016- Visual Relationship Detection with Language Priors - Lu et al, ECCV 2016 Oral, [official Matlab code].
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CVPR 2018- Neural Motifs: Scene Graph Parsing with Global Context - Rowan Zellers et al, CVPR 2018, [official pytorch=0.3.0 code]. -
IJCAI 2018- Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding - Hai Wan et al, IJCAI-18. -
ICCV 2017- Scene Graph Generation From Objects, Phrases and Region Captions - Yikang Li et al, ICCV 2017. -
CVPR 2017- Scene Graph Generation by Iterative Message Passing - Danfei Xu et al, CVPR 2017.
ACM MM 2017- Video Visual Relation Detection - Xindi Shang et al, 2017 ACM Multimedia Conference, Video Visual Relation Detection
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The Open Images Dataset V4,IJCV 2018- The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale - Alina Kuznetsova et al, IJCV 2018. -
Visual Genome,2016- Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations - Ranjay Krishna et al, [official web] (https://visualgenome.org/). -
VRD,ECCV 2016- Visual Relationship Detection with Language Priors - Lu et al, ECCV 2016 Oral. -
VidVRD,ACM MM 2017- Video Visual Relation Dataset - Xindi Shang et al, 2018 ACM Multimedia Conference, VidVRD-helper.
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ICCV 2017- Deformable Convolutional Networks - J. Dai et al., ICCV 2017. [official code] -
FacebookResearch- Detectron - Open Source Object Detection Framework from Facebook AI Research. Includes Mask R-CNN, FPN, and etc. Caffe2 implementation. -
ICCV 2017- Mask R-CNN - K. He et al, [Detectron], [TensorFlow + Keras], [MXNet], [TensorFlow], [PyTorch] - State-of-the-art object detection/instance segmentation algorithm. -
NIPS 2015- Faster R-CNN - S. Ren et al, NIPS2015. [official MatCaffe code], [PyCaffe], [TensorFlow], [Another TF implementation] [Keras] - State-of-the-art object detector. -
CVPR 2016- YOLO - J. Redmon et al, CVPR2016. [official code], [TensorFLow] - Fast object detector. -
CVPR 2017- YOLO9000 - J. Redmon and A. Farhadi, CVPR2017. [official code] - State-of-the-art object detector which can detect 9000 objects in realtime. -
ECCV 2016- SSD - W. Liu et al, ECCV2016. [official PyCaffe code], [TensorFlow], [Keras] - State-of-the-art object detector with realtime processing speed. -
ICCV 2017- RetinaNet - Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He and Piotr Dollár, Facebook AI Research FAIR & ICCV 2017.[Keras] - State-of-the-art object detector with realtime processing speed.
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ICCV 2017- [Detect to Track and Track to Detect] - C. Feichtenhofer et al., ICCV2017. [code], [project web] -
ICCV 2017- [Flow-Guided Feature Aggregation for Video Object Detection] - X. Zhu et al., ICCV2017. [code], aka FGFA
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