Event-based Action Recognition by Pre-Training on Multi-Frame Representations
cs.CV
Submitted: 2026-10-09
Updated: 2026-10-09
Code: https://github.com/nrthby/event-action-mae
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- BEiT: BERT Pre-Training of Image Transformers
- HoloEv-Net: Efficient Event-based Action Recognition via Holographic Spatial Embedding and Global Spectral Gating
- Decoupled Weight Decay Regularization
- Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
- Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras
- DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition
- Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
- EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models