Action Jets: Learning the Local Shape of the Action-conditioned Data Manifold

cs.CV

Submitted: 2026-10-13

Updated: 2026-10-13

Comments: 34 pages, 14 figures, 23 tables. Project page: https://anton-arapin.github.io/action-jets-site

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

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