TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection
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 add
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: zhou”
- LinkedLinked via arxiv author · 85%Qiangqiang Zhou →
“TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection”
- LinkedLinked via arxiv author · 85%Jiacong Yu →
“TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection”
- LinkedLinked via arxiv author · 85%Jiawei Xu →
“TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection”
- LinkedLinked via arxiv author · 85%Yongyong Chen →
“TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection”
- LinkedLinked via arxiv author · 85%Jinxin Huang →
“TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection”
- LinkedLinked via arxiv author · 85%Huaping Liu →
“TDFNet: Tri-projection Deformable Fusion Network for Panoramic Salient Object Detection”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”