T-JEPA: A Temporal Joint-Embedding Predictive Architecture for Learning Better Remote Sensing Representations
cs.CV
Submitted: 2026-10-05
Updated: 2026-10-05
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- No One Knows the State of the Art in Geospatial Foundation Models
- Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
- Deep multi-scale video prediction beyond mean square error
- From Observations to States: Latent Time Series Forecasting
- NITP: Next Implicit Token Prediction for LLM Pre-training
- Video Generation with Predictive Latents
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