1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization

stale

Proof freshness: stale
Proof status: partial
Display score: 8/10
Last proof check: 2026-03-17
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 33%

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

Agent Handoff

Canonical ID 1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization | Route /signal-canvas/1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization",
    "query_text": "Summarize 1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization",
  "normalized_query": "2602.10513",
  "route": "/signal-canvas/1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization",
  "paper_ref": "1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 7

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: 1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

PDF: https://arxiv.org/pdf/2602.10513v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-03-17T19:46:04.153Z

Signal Canvas receipt window

Watch and verify: 1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

/buildability/1-100-high-efficiency-visual-adapter-with-complex-linear-projection-optimization

Watchwatch

Subject: 1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 7Mixed 0Weak 0

Evidencepartial
we design a novel low-rank complex adapter that introduces only about 1% parameters to the backbone.
Implicationpartial
This is a key quantitative claim made in the abstract and reinforced in the analysis.
Verificationpartial
partial
Evidencepartial
CoLin outperforms both full fine-tuning and classical delta-tuning approaches with merely 1% parameters for the first time
Implicationpartial
The abstract explicitly states this comparative performance advantage.
Verificationpartial
partial
Evidencepartial
we theoretically prove that low-rank composite matrices suffer from severe convergence issues during training
Implicationpartial
This is a theoretical finding presented as a problem that CoLin addresses.
Verificationpartial
partial
Evidencepartial
Extensive experiments on object detection, segmentation, image classification, and rotated object detection (remote sensing scenario) demonstrate that CoLin outperforms
Implicationpartial
The abstract lists these specific tasks as part of the experimental validation.
Verificationpartial
partial
Evidencepartial
we propose an adapter with Complex Linear Projection Optimization (CoLin).
Implicationpartial
The method's name is explicitly stated in the title and abstract.
Verificationpartial
partial
Evidencepartial
The approach might face challenges with very high-complexity tasks where simplified adaptations could lead to performance drops.
Implicationpartial
This is a stated caveat in the provided analysis, indicating a potential limitation.
Verificationpartial
partial
Evidencepartial
The technology can be productized into a software solution enabling users to efficiently retrain large vision models on new datasets or tasks with minimal computational resources.
Implicationpartial
The 'product_angle' in the analysis suggests this productization potential.
Verificationpartial
partial

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

1%>100%: High-Efficiency Visual Adapter with Complex Linear Projection Optimization

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