A curated list of visual relationship detection and related area (e.g. object detection, scene graph) resources, inspired by awesome-computer-vision.

• Visual Relationship Detection
• Object Recognition

• 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].

• 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

• 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.

• 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.

• 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

• ImageNet VID

• YouTube-8M, technical report

• YouTube-BB, technical report

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