Adaptive Guidance Learning for Camouflaged Object Detection

no code implementations • 5 May 2024 • Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai

Then we present a hierarchical feature combination (HFC) module to deeply integrate additional cues and image features to guide camouflaged feature learning in a multi-level fusion manner. Followed by a recalibration decoder (RD), different features are further aggregated and refined for accurate object prediction.

Decoder Object +2

Diffusion Model for Camouflaged Object Detection

no code implementations • 1 Aug 2023 • Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin

Due to the powerful noise-to-image denoising capability of denoising diffusion models, in this paper, we propose a diffusion-based framework for camouflaged object detection, termed diffCOD, a new framework that considers the camouflaged object segmentation task as a denoising diffusion process from noisy masks to object masks.

Camouflaged Object Segmentation Image Denoising +3