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  1. Home
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  3. Fire on Motion: Optimizing Video Pass-bands for Efficient Sp
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Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition

Fresh2d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition

PDF: https://arxiv.org/pdf/2601.22675v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition

Overall score: 7/10
Lineage: 7dea4c59783c…
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Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

Missingness
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  • Paper mode pins trust state to the canonical paper kernel.
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Dimensions overall score 7.0

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Keep exploring

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Prior Work
Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
Score 7.0stable
Prior Work
From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet
Score 7.0stable
Prior Work
Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Score 7.0stable
Prior Work
Spike-PTSD: A Bio-Plausible Adversarial Example Attack on Spiking Neural Networks via PTSD-Inspired Spike Scaling
Score 7.0stable
Prior Work
Motion-Adaptive Temporal Attention for Lightweight Video Generation with Stable Diffusion
Score 7.0stable
Competing Approach
Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
Score 4.0down

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