Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Datasets
Greatest papers with code
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
• Cadene/block.bootstrap.pytorch
• 
We demonstrate the practical interest of our fusion model by using BLOCK for two challenging tasks: Visual Question Answering (VQA) and Visual Relationship Detection (VRD), where we design end-to-end learnable architectures for representing relevant interactions between modalities.
QUESTION ANSWERING REPRESENTATION LEARNING VISUAL QUESTION ANSWERING VISUAL RELATIONSHIP DETECTION
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation
ECCV 2018
• yikang-li/FactorizableNet
•
Generating scene graph to describe all the relations inside an image gains increasing interests these years.
Ranked #1 on
Scene Graph Generation
on VRD
GRAPH GENERATION SCENE GRAPH GENERATION VISUAL RELATIONSHIP DETECTION
Visual relationship detection with deep structural ranking
In this paper, we propose a novel framework, called Deep Structural Ranking, for visual relationship detection.
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
• logictensornetworks/logictensornetworks
• 
This requires the detection of visual relationships: triples (subject, relation, object) describing a semantic relation between a subject and an object.
RELATIONAL REASONING TENSOR NETWORKS VISUAL RELATIONSHIP DETECTION ZERO-SHOT LEARNING
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection
CVPR 2017
• nexusapoorvacus/DeepVariationStructuredRL
•
To capture such global interdependency, we propose a deep Variation-structured Reinforcement Learning (VRL) framework to sequentially discover object relationships and attributes in the whole image.
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
We present Open Images V4, a dataset of 9. 2M images with unified annotations for image classification, object detection and visual relationship detection.
IMAGE CLASSIFICATION OBJECT DETECTION VISUAL RELATIONSHIP DETECTION
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues
This paper presents a framework for localization or grounding of phrases in images using a large collection of linguistic and visual cues.
Long Tail Visual Relationship Recognition with Hubless Regularized Relmix
We propose to study the task of Long-Tail Visual Relationship Recognition (LTVRR), which aims at generalizing on the structured long-tail distribution of visual relationships (e. g., "rabbit grazing on grass").
Visual Relationship Detection with Relative Location Mining
Visual relationship detection, as a challenging task used to find and distinguish the interactions between object pairs in one image, has received much attention recently.
LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos
• praneeth11009/LIGHTEN-Learning-Interactions-with-Graphs-and-Hierarchical-TEmporal-Networks-for-HOI
•
Analyzing the interactions between humans and objects from a video includes identification of the relationships between humans and the objects present in the video.
HUMAN-OBJECT INTERACTION DETECTION VISUAL RELATIONSHIP DETECTION