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Temporal Sequences
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This task asks models to answer questions about which times certain events could have occurred.
Source: BIG-bench
Image source: BIG-bench
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis
APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval
Time Blindness: Why Video-Language Models Can't See What Humans Can?
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series
LLM4FTS: Enhancing Large Language Models for Financial Time Series Prediction
OT-Talk: Animating 3D Talking Head with Optimal Transportation
Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation
Of All StrIPEs: Investigating Structure-informed Positional Encoding for Efficient Music Generation
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
ASD Classification on Dynamic Brain Connectome using Temporal Random Walk with Transformer-based Dynamic Network Embedding
A Deep Learning Architecture for Land Cover Mapping Using Spatio-Temporal Sentinel-1 Features
Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
MV-GMN: State Space Model for Multi-View Action Recognition
IMSSA: Deploying modern state-space models on memristive in-memory compute hardware
Grid: Omni Visual Generation
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
DiCoDe: Diffusion-Compressed Deep Tokens for Autoregressive Video Generation with Language Models
LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories
MarineFormer: A Spatio-Temporal Attention Model for USV Navigation in Dynamic Marine Environments
Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
Causal Temporal Representation Learning with Nonstationary Sparse Transition
RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
A Comprehensive Review of Few-shot Action Recognition
Spiking Tucker Fusion Transformer for Audio-Visual Zero-Shot Learning
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
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