The core challenge of camouflaged object detection is the difficulty in visually distinguishing targets that are highly similar to the background. However, existing methods mostly rely on edge detection and full-image segmentation, and the detection effectiveness decreases dramatically when the target is highly similar to the background. To address this problem, we propose the Localisation-Region Generalised Attention Network (L-RGANet), which combines a Transformer feature encoder, a cyclic feedback localisation mechanism and a generalised attention module. First, the Transformer backbone network is used to extract multi-scale feature information and enhance semantic and spatial information through top-down feature fusion. Subsequently, the Loop Feedback Localisation Module calibrates the position of the camouflaged target and reduces the background interference through continuous iterative localisation. The generalised attention module simulates biological vision, dynamically adjusts the attention with the target in mind, and blurs the background outside the target region to improve the accuracy of detection. Experimental results show that LRGANet performs well on multiple public camouflage target detection datasets and significantly outperforms other existing camouflage target detection methods. In both quantitative and qualitative analyses, L-RGANet demonstrates higher accuracy and robustness in detecting camouflaged targets, especially in identifying targets better in complex backgrounds.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Localisation Region Based Generalised Attention Camouflage Object Detection Network


    Contributors:
    Wang, Xu (author) / Chen, Chong (author) / Ruan, Kang (author) / Zhang, Longfeng (author)


    Publication date :

    2024-10-23


    Size :

    942066 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    CAMOUFLAGE SYSTEM FOR CAMOUFLAGING AN OBJECT

    BLUM ADI / GOMER ITAI | European Patent Office | 2021

    Free access

    Camouflage

    Goodwin, M. | Engineering Index Backfile | 1944


    CAMOUFLAGE SYSTEM AND METHOD OF CAMOUFLAGING AN OBJECT

    BLUM ADI / GOMER ITAI | European Patent Office | 2017

    Free access

    Radar Camouflage

    L. Lewin | NTIS | 1945


    Ship camouflage

    Blodgett, Leo S | DSpace@MIT | 1919

    Free access