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Found 6 papers, 0 papers with code
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
In this paper, we propose to incorporate richer training dynamics information into a prototypical contrastive learning framework.
CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving
Benchmarking is a common method for evaluating trajectory prediction models for autonomous driving.
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
In autonomous driving, behavior prediction is fundamental for safe motion planning, hence the security and robustness of prediction models against adversarial attacks are of paramount importance.
Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning
Thus, we propose a stacked cross-modal feature consolidation (SCFC) attention network for image captioning in which we simultaneously consolidate cross-modal features through a novel compounding function in a multi-step reasoning fashion.
Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction
More specifically, 1) we define TAROT prediction as a novel self-supervised proxy task to identify the complex heterogeneous structure of the map.
ZS-IL: Looking Back on Learned ExperiencesFor Zero-Shot Incremental Learning
In this paper, we shed light on an on-call transfer set to provide past experiences whenever a new class arises in the data stream.
