SOTAVerified

Relation Network

Papers

Showing 125 of 123 papers

TitleStatusHype
FDDet: Frequency-Decoupling for Boundary Refinement in Temporal Action Detection0
Unraveling the geometry of visual relational reasoningCode0
Finding the Trigger: Causal Abductive Reasoning on Video Events0
ARN-LSTM: A Multi-Stream Fusion Model for Skeleton-based Action Recognition0
MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal AssistantsCode1
Personalized federated learning based on feature fusion0
An All-MLP Sequence Modeling Architecture That Excels at CopyingCode0
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion0
DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose EstimationCode0
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification0
Visual Commonsense based Heterogeneous Graph Contrastive Learning0
Cyclic Directed Probabilistic Graphical Model: A Proposal Based on Structured Outcomes0
Unsupervised Representation Learning to Aid Semi-Supervised Meta LearningCode0
IDRNet: Intervention-Driven Relation Network for Semantic SegmentationCode2
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image ClassificationCode1
Relational Context Learning for Human-Object Interaction DetectionCode1
Kinship Representation Learning with Face Componential Relation0
CycleACR: Cycle Modeling of Actor-Context Relations for Video Action DetectionCode0
You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene UnderstandingCode1
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable StyleCode1
Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer0
1st Place Solution for PSG competition with ECCV'22 SenseHuman WorkshopCode2
Few-Shot Referring Relationships in VideosCode0
Fast Learning of Dynamic Hand Gesture Recognition with Few-Shot Learning ModelsCode1
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