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This equation captures one of the core mathematical components of the system. S ∈[0, 1]H×W . Rather than modeling this task as a direct mapping, we inter-
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DGSSM: Diffusion guided state-space models for multimodal salient object detection explores A diffusion-guided state-space model for multimodal salient object detection that improves boundary accuracy and outperforms existing methods.. Commercial viability score: 7/10 in Multimodal Object Detection.
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Canonical ID dgssm-diffusion-guided-state-space-models-for-multimodal-salient-object-detection | Route /paper/dgssm-diffusion-guided-state-space-models-for-multimodal-salient-object-detection
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/dgssm-diffusion-guided-state-space-models-for-multimodal-salient-object-detectionMCP example
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/buildability/dgssm-diffusion-guided-state-space-models-for-multimodal-salient-object-detection
Subject: DGSSM: Diffusion guided state-space models for multimodal salient object detection
Verdict
Watch
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Dimensions overall score 7.0
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This equation captures one of the core mathematical components of the system. S ∈[0, 1]H×W . Rather than modeling this task as a direct mapping, we inter-
Page and bbox are available; crop image is pending.
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Receipt path
/buildability/dgssm-diffusion-guided-state-space-models-for-multimodal-salient-object-detection
Paper ref
dgssm-diffusion-guided-state-space-models-for-multimodal-salient-object-detection
arXiv id
2604.17585
Generated at
2026-04-21T20:32:43.344Z
Evidence freshness
fresh
Last verification
2026-04-21T20:32:43.344Z
Sources
3
References
0
Coverage
50%
Lineage hash
a1fb7f13e780cf10350c0b2d93afd0a5b75d180aaacd4541505c26c5a2587f2c
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External signature
unsigned_external
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Verification
not_verified
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. Given an input image I ∈RH×W ×C, optionally accompanied by an auxiliary
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This equation defines the loss the model is optimizing during training.
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