Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Awesome-Scene-Graphs
https://github.com/huoxingmeishi/Awesome-Scene-Graphs
Last synced: 1 day ago
JSON representation
-
Datasets
-
2018
- Actor-Centric Relation Network - |
- Scaling Human-Object Interaction Recognition through Zero-Shot Learning - |
- Learning to Detect Human-Object Interactions - |
- Scene Graph Parsing by Attention Graph - |
- Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction - |
- An Interpretable Model for Scene Graph Generation - |
- Scene Graph Parsing as Dependency Parsing - |
- Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding - |
- Narrative Collage of Image Collections by Scene Graph Recombination - |
- Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Disti - |
- Learning Human-Object Interactions by Graph Parsing Neural Networks - |
- Graph R-CNN for Scene Graph Generation - |
- Tensorize,Factorize and Regularize Robust Visual Relationship Learning - |
- Neural Motifs Scene Graph Parsing with Global Context - |
- Image Generation from Scene Graphs - |
- Detecting and Recognizing Human-Object Interactions - |
- Visual Social Relationship Recognition - |
- Transferable Interactiveness Prior for Human-Object Interaction Detection - |
- Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering - |
- Scene Graph Generation via Conditional Random Fields - |
- Detecting unseen visual relations using analogies - |
- Context-Dependent Diffusion Network for Visual Relationship Detection - |
- HCVRD:A Benchmark for Large-Scale Human-Centered Visual Relationship Detecti - |
- Generating Triples with Adversarial Networks for Scene Graph Construction - |
- LinkNet：Relational Embedding for Scene Graph - |
- Zoom-Net：Mining Deep Feature Interactions for Visual Relationship Recognition - |
- Factorizable Net： An Efficient Subgraph-based Framework for Scene Graph Generation - |
- Scene-centric Joint Parsing of Cross-view Videos - |
-
2019
- PANet: A Context Based Predicate Association Network for Scene Graph Generation - |
- Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues - |
- Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation - |
- PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph - |
- Referring Expression Grounding by Marginalizing Scene Graph Likelihood - |
- Know More Say Less: Image Captioning Based on Scene Graphs - |
- 3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents - |
- Multi-Granularity Reasoning for Social Relation Recognition from Images - |
- Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection - |
- Layout and Context Understanding for Image Synthesis with Scene Graphs - |
- Triplet-Aware Scene Graph Embeddings - |
- Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset - |
- Detecting Visual Relationships Using Box Attention - |
- Differentiable Scene Graphs - |
- VrR-VG: Refocusing Visually-Relevant Relationships - |
- Unpaired Image Captioning via Scene Graph Alignments - |
- Scene Graph Prediction with Limited Labels - |
- Seq-SG2SL: Inferring Semantic Layout from Scene Graph through Sequence to Sequence Learning - |
- Counterfactual Critic Multi-Agent Training for Scene Graph Generation - |
- 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera - |
- Auto-Encoding Scene Graphs for Image Captioning - |
- Compact Scene Graphs for Layout Composition and Patch Retrieval - |
- Exploring Context and Visual Pattern of Relationship for Scene Graph Generation - |
- Explainable and Explicit Visual Reasoning over Scene Graphs - |
- Learning to Compose Dynamic Tree Structures for Visual Contexts - |
- Image Generation from Layout - |
- Scene Graph Generation with External Knowledge and Image Reconstruction - |
- Graphical Contrastive Losses for Scene Graph Parsing - |
- Knowledge-Embedded Routing Network for Scene Graph Generation - |
- Attentive Relational Networks for Mapping Images to Scene Graphs - |
- A hierarchical recurrent approach to predict scene graphs from a visual-attention-oriented perspective - |
- An Empirical Study on Leveraging Scene Graphs for Visual Question Answering - |
- Using Scene Graph Context to Improve Image Generation - |
- Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning - |
- Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators - |
- Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction - |
- Learning Canonical Representations for Scene Graph to Image Generation - |
- Interactive Image Generation Using Scene Graphs - |
- Generating Natural Language Explanations for Visual Question Answering Using Scene Graphs and Visual Attention - |
- Action Genome Actions as Composition of Spatio-temporal Scene Graphs - |
- Large-Scale Visual Relationship Understanding - |
- BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection - |
-
Survey
-
2020
-
2017
- Pixels to Graphs by Associative Embedding - |
- On support relations and semantic scene graphs - |
- Joint Embeddings of Scene Graphs and Images - |
- Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation - |
- Scene Graph Generation from Objects, Phrases and Region Captions - |
- Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues - |
- ViP-CNN: Visual Phrase Guided Convolutional Neural Network - |
- Scene Graph Generation by Iterative Message Passing - |
- Modeling Relationships in Referential Expressions with Compositional Modular Networks - |
- Detecting Visual Relationships with Deep Relational Networks - |
- Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection - |
- Online Cross-Modal Scene Retrieval by Binary Representation and Semantic Graph - |
-
2010-2016
- Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval - |
- Image Retrieval using Scene Graphs - |
- Categorizing Object-Action Relations from Semantic Scene Graphs - |
- From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge - |
- Visual Relationship Detection with Language Priors - |
-
Categories