TL;DR
A novel Coarse Map-guided Multi-scale Interaction Network (CMNet), which employs a dual-branch structure to enhance both semantic context and fine-grained details, and introduces a progressive fusion mechanism to generate coarse priors that guide subsequent feature refinement.
CMFR first extracts multi-scale contextual features for coarse target localization, then combines spatial and Laplacian frequency cues to aggregate boundary and texture responses, and finally uses coarse maps as dynamic thresholds for adaptive refinement.
Camouflaged Object Detection (COD) aims to segment objects that blend seamlessly with their surroundings, posing significant challenges due to ambiguous boundaries and incomplete structural perception under complex backgrounds. Existing methods often rely on single-domain representations or coarse feature fusion strate...
Small object detection in remote sensing images (RSIs) is challenging because imaging degradation weakens object textures, reduces contrast, and blurs boundaries. These effects are further aggravated by hierarchical feature extraction, where repeated downsampling weakens shallow spatial cues before they reach deeper se...
Camouflaged Object Detection (COD) aims to segment objects that are hidden within complex backgrounds. Due to the low visual contrast of camouflaged objects, annotations are costly, motivating unsupervised COD (UCOD) to eliminate labeling expenses. Most UCOD methods follow the “MLLMs + other foundation models + SAM” pa...
CMambaDepth is proposed, a self-supervised framework that achieves efficient multi-scale feature fusion and fine-grained contextual modeling via channel-wise selective state propagation and a Hybrid Attention Module is introduced to combine large-kernel local context and Manhattan self-attention for complementary spati...
A Graph-driven Contextual Synergy Network (GCS3D), which is designed to systematically enhance point representations across both semantic and geometric dimensions, and introduces a Graph-guided Geometric Consistency Interaction module for contextual correlation modeling.
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