mlsanityData to 7 Oct 2026

SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want

arXiv 2407.09874 ↗First posted 13 Jul 2024cs.CV cs.AIcited by 1

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Abstract (arXiv)

The existing change detection(CD) methods can be summarized as the visual-first change detection (ViFi-CD) paradigm, which first extracts change features from visual differences and then assigns them specific semantic information. However, CD is essentially dependent on change regions of interest (CRoIs), meaning that the CD results are directly determined by the semantics changes of interest, making its primary image factor semantic of interest rather than visual. The ViFi-CD paradigm can only assign specific semantics of interest to specific change features extracted from visual differences, leading to the inevitable omission of potential CRoIs and the inability to adapt to different CRoI CD tasks. In other words, changes in other CRoIs cannot be detected by the ViFi-CD method without retraining the model or significantly modifying the method. This paper introduces a new CD paradigm, the semantic-first CD (SeFi-CD) paradigm. The core idea of SeFi-CD is to first perceive the dynamic semantics of interest and then visually search for change features related to the semantics. Based on the SeFi-CD paradigm, we designed Anything You Want Change Detection (AUWCD). Experiments on public datasets demonstrate that the AUWCD outperforms the current state-of-the-art CD methods, achieving an average F1 score 5.01% higher than that of these advanced supervised baselines on the SECOND dataset, with a maximum increase of 13.17%. The proposed SeFi-CD offers a novel CD perspective and approach.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 37 of its 81 references that are in the map. First posted on arXiv 13 Jul 2024.

Builds on

37 of 81 references.

References · 37

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25 more
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Citing papers per year: 2025: 1.

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  1. 2025Referring Change Detection in Remote Sensing Imagerycited by 6