APRTrack applies hierarchical adversarial perturbations at modality and spatial levels plus footprint-calibrated Hopfield retrieval to improve robustness of RGB-Event tracking under occlusion and modal failure.
Mamba-fetrack v2: Revisiting state space model for frame- event based visual object tracking,
2 Pith papers cite this work. Polarity classification is still indexing.
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A survey that categorizes event camera representation learning into dense-based and sparse-based methods, examining design choices, benchmarks, and open problems.
citing papers explorer
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Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking
APRTrack applies hierarchical adversarial perturbations at modality and spatial levels plus footprint-calibrated Hopfield retrieval to improve robustness of RGB-Event tracking under occlusion and modal failure.
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A Systematic Survey on Event Camera Representation Learning
A survey that categorizes event camera representation learning into dense-based and sparse-based methods, examining design choices, benchmarks, and open problems.