SOTAVerified

Visual Relationship Detection

Visual relationship detection (VRD) is one newly developed computer vision task aiming to recognize relations or interactions between objects in an image. It is a further learning task after object recognition and is essential for fully understanding images, even the visual world.

Papers

Showing 2650 of 82 papers

TitleStatusHype
Improving Visual Relation Detection using Depth MapsCode0
AVR: Attention based Salient Visual Relationship DetectionCode0
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph GenerationCode0
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship DetectionCode0
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute DetectionCode0
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship DetectionCode0
Unified Visual Relationship Detection with Vision and Language ModelsCode0
Constructing a Visual Relationship Authenticity DatasetCode0
Image Scene Graph Generation (SGG) BenchmarkCode0
Visual Relationship Detection with Language prior and SoftmaxCode0
Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box ReconstructionCode0
Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language CuesCode0
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship DetectionCode0
On Exploring Undetermined Relationships for Visual Relationship Detection0
Optimising the Input Image to Improve Visual Relationship Detection0
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition0
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks0
RelVAE: Generative Pretraining for few-shot Visual Relationship Detection0
Visual Semantic Information Pursuit: A Survey0
Scene Graph Generation: A Comprehensive Survey0
Scene Graph Generation with External Knowledge and Image Reconstruction0
A Comprehensive Survey of Scene Graphs: Generation and Application0
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection0
VReBERT: A Simple and Flexible Transformer for Visual Relationship Detection0
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Yu et. al [[Yu et al.2017a]]R@10031.89Unverified
2vrd-dsrR@10023.29Unverified
3BLOCKR@10020.96Unverified
4Dai et. al [[Dai, Zhang, and Lin2017]]R@10020.88Unverified
5Liang et. al [[Liang, Lee, and Xing2017]]R@10020.79Unverified
6Peyre et. al [[Peyre et al.2017]]R@10017.1Unverified
7Zhang et. al [[Hanwang Zhang2017]]R@10015.2Unverified
8Lu et. al [[Lu et al.2016]]R@10014.7Unverified
#ModelMetricClaimedVerifiedStatus
1Yu et. al [[Yu et al.2017a]]R@10029.43Unverified
2BLOCKR@10028.96Unverified
3Dai et. al [[Dai, Zhang, and Lin2017]]R@10023.45Unverified
4Liang et. al [[Liang, Lee, and Xing2017]]R@10022.6Unverified
5Zhang et. al [[Hanwang Zhang2017]]R@10022.42Unverified
6Peyre et. al [[Peyre et al.2017]]R@10019.5Unverified
7Lu et. al [[Lu et al.2016]]R@10017.03Unverified
#ModelMetricClaimedVerifiedStatus
1Yu et. al [[Yu et al.2017a]]R@10094.65Unverified
2vrd-dsrR@10093.18Unverified
3BLOCKR@10092.58Unverified
4Dai et. al [[Dai, Zhang, and Lin2017]]R@10081.9Unverified
5Peyre et. al [[Peyre et al.2017]]R@10052.6Unverified
6Lu et. al [[Lu et al.2016]]R@10047.87Unverified
7Zhang et. al [[Hanwang Zhang2017]]R@10044.76Unverified
#ModelMetricClaimedVerifiedStatus
1PEVLR@10066.3Unverified
#ModelMetricClaimedVerifiedStatus
1Ours - vR@50 k=115Unverified