SOTAVerified

Activity Prediction

Predict human activities in videos

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 106 papers

TitleStatusHype
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data—0
D-GRIL: End-to-End Topological Learning with 2-parameter PersistenceCode0
DeepMol: An Automated Machine and Deep Learning Framework for Computational ChemistrCode2
Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams—0
MFBind: a Multi-Fidelity Approach for Evaluating Drug Compounds in Practical Generative Modeling—0
SNAP: Semantic Stories for Next Activity Prediction—0
A Nonparametric Bayes Approach to Online Activity Prediction—0
ADCNet: a unified framework for predicting the activity of antibody-drug conjugatesCode1
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity PredictionCode0
Short-term prediction of construction waste transport activities using AI-Truck—0
Target-Free Compound Activity Prediction via Few-Shot Learning—0
Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language ModelsCode0
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations—0
A Discussion on Generalization in Next-Activity Prediction—0
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery—0
Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR ImagesCode0
ALMERIA: Boosting pairwise molecular contrasts with scalable methods—0
Enhancing Model Learning and Interpretation Using Multiple Molecular Graph Representations for Compound Property and Activity Prediction—0
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human LanguageCode1
Syntactic Structure Processing in the Brain while Listening—0
SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers—0
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventionsCode0
Modeling Time-Series and Spatial Data for Recommendations and Other Applications—0
Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers—0
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision SensorsCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1NextmAP0.19—Unverified