PointEvent: Rethinking Event-based Tiny Object Detection via Serialized Motion Evidence Accumulation

arXiv:2609.20066 · cs.CV, cs.AI · Submitted 2026-09-17 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-17

Updated: 2026-09-17

Comments: Code: https://github.com/wzz-z/PointEvent

Code: https://github.com/wzz-z/PointEvent

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ablation — 9× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Event Coordinate Embedding — 7× in this paper
• Transformer — 6× in this paper · explained in 2 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Quantization — 4× in this paper · explained in 12 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Anisotropic Curve Positional Encoding — 3× in this paper
• Optical Flow — 3× in this paper · explained in 2 episodes
• Serialized Evidence Block — 3× in this paper
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Point Clouds — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Spectral clustering — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes

Sources

• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras
• YOLOv11: An Overview of the Key Architectural Enhancements
• EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
• Deformable DETR: Deformable Transformers for End-to-End Object Detection

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