Temporally Ordered Region-Token Mamba with Logit-Space Diffusion for Remote Sensing Change Detection

arXiv:2609.27149 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Code: https://github.com/Aparup2139/Public_WACV

Terminology

Accuracy — 13× in this paper · explained in 1 episode
Transformer — 9× in this paper · explained in 2 episodes
Benchmark — 6× in this paper · explained in 2 episodes
Representation Learning — 6× in this paper · explained in 2 episodes
Consistency — 5× in this paper · explained in 3 episodes
Ablation — 4× in this paper · explained in 1 episode
Adaptation — 4× in this paper · explained in 1 episode
Conditional Diffusion Decoder — 4× in this paper
Feature Extraction — 3× in this paper · explained in 2 episodes
Fine-Tuning — 3× in this paper · explained in 5 episodes
Robustness — 3× in this paper · explained in 5 episodes
F1 Score — 2× in this paper · explained in 3 episodes
Orthogonal Feature Disentanglement — 2× in this paper
Zero-Shot Transfer — 2× in this paper · explained in 4 episodes
Attention Mechanism — 1× in this paper · explained in 3 episodes
Bitemporal Ordered Mamba Operator — 1× in this paper
Calibration — 1× in this paper · explained in 7 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Foundation Model — 1× in this paper · explained in 3 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generalization — 1× in this paper · explained in 13 episodes
Overall Accuracy — 1× in this paper
Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Temporal Reasoning — 1× in this paper · explained in 2 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective

Terminology

Sources

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