Paper
Camouflaged Object Detection via Scale-Feature Attention and Type-Feature Attention.
Camouflaged Object Detection via Scale-Feature Attention and Type-Feature Attention.
Adaptive Unified Framework with Global Anchor Graph for Large-scale Multi-view Clustering.
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Capsule Networks With Residual Pose Routing.
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TCGNet: TypeCorrelation Guidance for Salient Object Detection
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DKTNet Dual-Key Transformer Network for small object detection
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Disentangled capsule routing for fast part-object relational saliency
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Bi-directional progressive guidance network for RGB-D salient object detection
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Part-object relational visual saliency
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Integrating part-object relationship and contrast for camouflaged object detection
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Exploring multi-scale deformable context and channel-wise attention for salient object detection
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Engaging part-whole hierarchies and contrast cues for salient object detection
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Deep Salient Object Detection with Contextual Information Guidance
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Joint cross-modal and unimodal features for RGB-D salient object detection
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Employing Deep Part-Object Relationships for Salient Object Detection
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Salient object detection via two-stage graphs
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Salient object detection employing a local tree-structured low-rank representation and foreground consistency
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Salient object detection employing robust sparse representation and local consistency
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Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review, Information Fusion
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Salient object detection based on super-pixel clustering and unified low-rank representation
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