Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets
Due to the optical diffraction limit and long imaging distances, Closely-Spaced Infrared Small Targets (CSIST) typically exhibit energy overlap, manifesting as indistinguishable blobs in infrared images. This ambiguity invalidates the one-to-one mapping assumption of traditional detection, thereby necessitating a paradigm shift towards CSIST Unmixing, which decomposes these blobs into discrete sub-targets. However, the dominant paradigm deep unfolding networks are shackled by the high latency and structural inflexibility intrinsic to their repetitively iterative architecture. To this end, we p
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- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%DietrichGebert/ponytail →
“Shared author/contributor keys: cheng”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Ximeng Zhai →
“Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets”
- LinkedLinked via arxiv author · 85%Yuzheng Wang →
“Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets”
- LinkedLinked via arxiv author · 85%Yaohong Chen →
“Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets”
- LinkedLinked via arxiv author · 85%Jiahao Wang →
“Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets”
- LinkedLinked via arxiv author · 85%Ming-Ming Cheng →
“Beyond Unfolding: 60x Faster One-Stage Unmixing for Closely-Spaced Infrared Small Targets”