FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation

FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation | Signal Canvas | ScienceToStartup

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Signal Canvas proof surface

Canonical route: /signal-canvas/ftpfusion-frequency-aware-infrared-and-visible-video-fusion-with-temporal-perturbation

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 67%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID ftpfusion-frequency-aware-infrared-and-visible-video-fusion-with-temporal-perturbation | Route /signal-canvas/ftpfusion-frequency-aware-infrared-and-visible-video-fusion-with-temporal-perturbation

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/ftpfusion-frequency-aware-infrared-and-visible-video-fusion-with-temporal-perturbation

MCP example

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    "paper_ref": "ftpfusion-frequency-aware-infrared-and-visible-video-fusion-with-temporal-perturbation",
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source_context

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  "query": "FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation",
  "normalized_query": "2604.01900",
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  "paper_ref": "ftpfusion-frequency-aware-infrared-and-visible-video-fusion-with-temporal-perturbation",
  "topic_slug": null,
  "benchmark_ref": null,
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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation

PDF: https://arxiv.org/pdf/2604.01900v1

Repository: https://github.com/ixilai/FTPFusion

Source count: Pending verification

Coverage: 67%

Last proof check: 2026-04-03T20:30:30.130Z

Signal Canvas receipt window

Ready for execution: FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation

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Subject: FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation

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Last commit

4/2/2026

Forks

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Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
FTPFusion decomposes the feature representations into high-frequency and low-frequency components for collaborative modeling.
Implicationpartial
Directly and explicitly stated in the abstract as a core methodological component.
Verificationpartial
partial
Evidencepartial
The high-frequency branch performs sparse cross-modal spatio-temporal interaction to capture motion-related context and complementary details.
Implicationpartial
Directly and explicitly stated in the abstract as a specific methodological step.
Verificationpartial
partial
Evidencepartial
The low-frequency branch introduces a temporal perturbation strategy to enhance robustness against complex video variations, such as flickering, jitter, and local misalignment.
Implicationpartial
Directly and explicitly stated in the abstract as a specific methodological step.
Verificationpartial
partial
Evidencepartial
Furthermore, we design an offset-aware temporal consistency constraint to explicitly stabilize cross-frame representations under temporal disturbances.
Implicationpartial
Directly and explicitly stated in the abstract as a specific methodological component.
Verificationpartial
partial
Evidencepartial
Extensive experiments on multiple public benchmarks demonstrate that FTPFusion consistently outperforms state-of-the-art methods across multiple metrics in both spatial fidelity and temporal consistency.
Implicationpartial
Directly stated in the abstract as a result of extensive experiments, though specific metrics are not listed.
Verificationpartial
partial
Evidencepartial
Infrared and visible video fusion plays a critical role in intelligent surveillance and low-light monitoring.
Implicationpartial
Directly stated in the abstract as a motivation/application context, but is a general statement about the field rather than a specific claim about the paper's contribution.
Verificationpartial
partial
Evidencepartial
Existing methods either focus on frame-wise enhancement with limited temporal modeling or rely on heavy spatio-temporal aggregation that often sacrifices high-frequency details.
Implicationpartial
Directly stated in the abstract as a limitation of existing work, which is a common setup for proposing a new method. It is a broad claim about the field.
Verificationpartial
partial
Evidencepartial
However, maintaining temporal stability while preserving spatial detail remains a fundamental challenge.
Implicationpartial
Directly stated in the abstract as a problem statement, framing the research gap the paper addresses.
Verificationpartial
partial

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FTPFusion: Frequency-Aware Infrared and Visible Video Fusion with Temporal Perturbation

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