SOTAVerified

Temporal Sequences

This task asks models to answer questions about which times certain events could have occurred.

Source: BIG-bench

Image source: BIG-bench

Papers

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Showing 101–125 of 200 papers

TitleStatusHype
Proactive Robot Assistance via Spatio-Temporal Object ModelingCode0
Biologically-Inspired Continual Learning of Human Motion Sequences—0
Self-supervised Amodal Video Object SegmentationCode0
Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from VideosCode0
Explainable Graph Pyramid Autoformer for Long-Term Traffic ForecastingCode0
Investigating current-based and gating approaches for accurate and energy-efficient spiking recurrent neural networks—0
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences—0
Waymo Open Dataset: Panoramic Video Panoptic SegmentationCode0
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations—0
Single-Photon Structured Light—0
Graph similarity learning for change-point detection in dynamic networksCode0
Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder—0
Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation—0
Ice hockey player identification via transformers and weakly supervised learning—0
Learning Scene Dynamics from Point Cloud Sequences—0
Learning Finite Linear Temporal Logic Specifications with a Specialized Neural Operator—0
Rotor Localization and Phase Mapping of Cardiac Excitation Waves using Deep Neural Networks—0
Multiscale Manifold Warping—0
A pattern recognition approach for distinguishing between prose and poetry—0
Medical Profile Model: Scientific and Practical Applications in HealthcareCode0
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture—0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection—0
Temporal and Object Quantification Networks—0
Divide and Rule: Recurrent Partitioned Network for Dynamic Processes—0
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning—0
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