Predicate Detection
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Benchmarks
Most implemented
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
VrdONE: One-stage Video Visual Relation Detection
Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction
A Novel Metric for Evaluating Semantics Preservation
Contextualized Semantic Distance between Highly Overlapped Texts
Papers
VrdONE: One-stage Video Visual Relation Detection
Video Visual Relation Detection (VidVRD) focuses on understanding how entities interact over time and space in videos, a key step for gaining deeper insights into video scenes beyond basic visual tasks. Traditional metho…
Predicate DetectionRelationVideo Visual Relation DetectionSelf-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction
We present a novel self-supervised approach for representation learning, particularly for the task of Visual Relationship Detection (VRD). Motivated by the effectiveness of Masked Image Modeling (MIM), we propose Masked …
Predicate DetectionRelationship DetectionRepresentation LearningSelf-Supervised Learning+1Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
The single-hidden-layer Randomly Weighted Feature Network (RWFN) introduced by Hong and Pavlic (2021) was developed as an alternative to neural tensor network approaches for relational learning tasks. Its relatively smal…
Predicate DetectionRelational ReasoningRelationship DetectionTensor Networks+2A Novel Metric for Evaluating Semantics Preservation
In this paper, we leverage pre-trained language models (PLMs) to precisely evaluate the semantics preservation of edition process on sentences. Our metric, Neighboring Distribution Divergence (NDD), evaluates the disturb…
Language ModelingLanguage ModellingPredicate DetectionSentence+2Contextualized Semantic Distance between Highly Overlapped Texts
Overlapping frequently occurs in paired texts in natural language processing tasks like text editing and semantic similarity evaluation. Better evaluation of the semantic distance between the overlapped sentences benefit…
Domain AdaptationLanguage ModelingLanguage ModellingMasked Language Modeling+7Comparison of single and multitask learning for predicting cognitive decline based on MRI data
The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) is a neuropsychological tool that has been designed to assess the severity of cognitive symptoms of dementia. Personalized prediction of the changes …
DiagnosticDomain AdaptationMulti-target regressionMulti-Task Learning+2