TT-VidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining

arXiv:2609.33419 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-29

Project page: https://kohakublueleaf.github.io/TTVidT/Abstract

Terminology

Benchmark — 20× in this paper · explained in 2 episodes
Ablation — 18× in this paper · explained in 1 episode
Accuracy — 15× in this paper · explained in 1 episode
Fine-Tuning — 9× in this paper · explained in 5 episodes
Representation Learning — 9× in this paper · explained in 2 episodes
Transformer — 8× in this paper · explained in 2 episodes
Actor — 6× in this paper · explained in 3 episodes
Self-Supervised Learning — 5× in this paper · explained in 8 episodes
Adaptation — 3× in this paper · explained in 1 episode
Decoupling — 3× in this paper · explained in 2 episodes
Distillation — 3× in this paper · explained in 2 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Benchmarking — 2× in this paper · explained in 4 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Latent Space — 2× in this paper · explained in 7 episodes
Robustness — 2× in this paper · explained in 5 episodes
Transfer Learning — 2× in this paper · explained in 10 episodes
Aggregation — 1× in this paper · explained in 1 episode
Contrastive Learning — 1× in this paper · explained in 5 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generalization — 1× in this paper · explained in 13 episodes
Generative Modeling — 1× in this paper · explained in 3 episodes
Self-Supervised Learning (SSL) — 1× in this paper · explained in 4 episodes

Sources

VTok: A Unified Video Tokenizer with Decoupled Spatial-Temporal Latents

Terminology

Sources

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