SOTAVerified

Activity Prediction

Predict human activities in videos

Papers

Showing 125 of 106 papers

TitleStatusHype
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to VerificationCode5
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision SensorsCode3
DeepMol: An Automated Machine and Deep Learning Framework for Computational ChemistrCode2
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational LearningCode1
ADCNet: a unified framework for predicting the activity of antibody-drug conjugatesCode1
Prescriptive Business Process Monitoring for Recommending Next Best ActionsCode1
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human LanguageCode1
Meta-HAR: Federated Representation Learning for Human Activity RecognitionCode1
Peeking into the Future: Predicting Future Person Activities and Locations in VideosCode1
Attention-based Multi-Input Deep Learning Architecture for Biological Activity Prediction: An Application in EGFR InhibitorsCode0
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active LearningCode0
DeepProcess: Supporting business process execution using a MANN-based recommender systemCode0
Attention Please: What Transformer Models Really Learn for Process PredictionCode0
Data-driven Perception of Neuron Point Process with Unknown UnknownsCode0
Molecular De Novo Design through Deep Reinforcement LearningCode0
Ionospheric activity prediction using convolutional recurrent neural networksCode0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health ClassificationCode0
Group Activity Prediction with Sequential Relational Anticipation ModelCode0
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity PredictionCode0
INFER: INtermediate representations for FuturE pRedictionCode0
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity PredictionCode0
D-GRIL: End-to-End Topological Learning with 2-parameter PersistenceCode0
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language ModelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NextmAP0.19Unverified