Problem
Research questions and friction points this paper is trying to address.
Panoramic Salient Object Detection
Geometric Distortions
Equirectangular Projection
Cube Map Projection
Projection-based Methods
TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection
🤖 AI Summary
为解决全景显著物体检测中的几何失真问题，提出TDFNet，通过三投影变形融合网络及交叉投影变形注意力模块提升检测性能。
📝 Abstract
Recent years have witnessed the growing potential of panoramic salient object detection in robotic vision, virtual reality, and related applications. However, projecting spherical scenes onto 2D planes inevitably introduces geometric distortions, which fundamentally limit the effectiveness of existing projection-based methods. Specifically, Equirectangular Projection (ERP) suffers from severe polar stretching distortions, while cube map projection introduces discontinuities across cube-face boundaries, resulting in degraded feature discriminability and compromised geometric consistency. To address these limitations, we propose TDFNet, the first Tri-projection Deformable Fusion Network for panoramic salient object detection, exploiting complementary projection representations to alleviate geometric distortions and improve detection performance.Specifically, we design a cross-projection deformable attention (CDA) module that leverages spatial correspondences between different projections to construct geometry-aware sampling locations, guiding deformable attention for cross-projection contextual aggregation and enhancing robustness against projection-induced deformations. Furthermore, we introduce a latitude-guided fusion module, which utilizes spherical latitude priors to construct geometric confidence weights for adaptively balancing ERP and CMP features. Meanwhile, LGF incorporates distortion-reduced semantic references from Tangent Projection to achieve cross-projection feature refinement and spatial alignment.By constructing a three-branch encoding architecture based on ERP, CMP, and Tangent Projection, TDFNet simultaneously preserves global spatial continuity, local geometric details, and fine-grained boundary information.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Tri-projection Deformable Fusion Network
Cross-projection Deformable Attention
Latitude-guided Fusion
🔎 Similar Papers
No similar papers found.
