End-to-End Self-Supervised RGB-T Tracking without Modality Misleading

arXiv:2609.37162 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/LiShenglana/ESMTrack

Terminology

Grounding — 51× in this paper · explained in 3 episodes
Benchmark — 32× in this paper · explained in 2 episodes
Consistency — 18× in this paper · explained in 3 episodes
Decoupling — 15× in this paper · explained in 2 episodes
Pseudo-labels — 14× in this paper · explained in 2 episodes
Ablation — 13× in this paper · explained in 1 episode
Adaptive Modality Decoupling — 10× in this paper
Robustness — 10× in this paper · explained in 5 episodes
Transformer — 10× in this paper · explained in 2 episodes
Alignment — 6× in this paper · explained in 1 episode
Contrastive Learning — 5× in this paper · explained in 5 episodes
Conference on Computer Vision and Pattern Recognition — 4× in this paper
Accuracy — 3× in this paper · explained in 1 episode
Adaptation — 3× in this paper · explained in 1 episode
Computational overhead — 3× in this paper · explained in 2 episodes
Generalization — 3× in this paper · explained in 13 episodes
Representation Learning — 3× in this paper · explained in 2 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Aggregation — 2× in this paper · explained in 1 episode
Diffusion Model — 2× in this paper · explained in 8 episodes
Optical Flow — 2× in this paper · explained in 2 episodes
Redundancy — 2× in this paper · explained in 2 episodes
Temporal consistency — 2× in this paper · explained in 2 episodes
Two-stage training — 2× in this paper · explained in 2 episodes
AUC — 1× in this paper · explained in 2 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Anchor Source — 1× in this paper · explained in 1 episode
Average Peak-to-Correlation Energy — 1× in this paper
Diffusion Models — 1× in this paper · explained in 6 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Pseudo-labeling — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Self-Supervised Learning — 1× in this paper · explained in 8 episodes

Sources

Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking

Terminology

Sources

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