MTF-Net: Multi-Modal Temporal Feature Fusion Network for Pedestrian Intention Prediction

arXiv:2609.20178 · cs.CV · Submitted 2026-07-24 · Read on arXiv

cs.CV

Submitted: 2026-07-24

Updated: 2026-07-24

Terminology

• AUC — 17× in this paper · explained in 2 episodes
• Pedestrian Intention Prediction — 16× in this paper
• Accuracy — 14× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Generalization — 3× in this paper · explained in 13 episodes
• Intelligent Vehicles Symposium — 3× in this paper
• Interpretability — 3× in this paper · explained in 15 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Temporal Reasoning — 3× in this paper · explained in 2 episodes
• Activation Function — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Pedestrian Intention Estimation — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• IEEE Intelligent Transportation Systems Conference — 1× in this paper
• International Joint Conference on Neural Networks — 1× in this paper
• Joint Attention — 1× in this paper · explained in 2 episodes
• Joint Attention for Autonomous Driving — 1× in this paper
• Latent Space — 1× in this paper · explained in 7 episodes
• Multi-modal Inputs — 1× in this paper · explained in 2 episodes
• Temporal Correlations — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• YOLOv11: An Overview of the Key Architectural Enhancements
• Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs
• ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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