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  1. Home
  2. Signal Canvas
  3. FSMC-Pose: Frequency and Spatial Fusion with Multiscale Self
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FSMC-Pose: Frequency and Spatial Fusion with Multiscale Self-calibration for Cattle Mounting Pose Estimation

Fresh1d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

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

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: FSMC-Pose: Frequency and Spatial Fusion with Multiscale Self-calibration for Cattle Mounting Pose Estimation

PDF: https://arxiv.org/pdf/2603.16596v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 7.0

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Builds On This
MOO: A Multi-view Oriented Observations Dataset for Viewpoint Analysis in Cattle Re-Identification
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Prior Work
Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos
Score 7.0stable
Prior Work
Fusion Complexity Inversion: Why Simpler Cross View Modules Outperform SSMs and Cross View Attention Transformers for Pasture Biomass Regression
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Prior Work
M^3: Dense Matching Meets Multi-View Foundation Models for Monocular Gaussian Splatting SLAM
Score 7.0stable
Prior Work
AG-EgoPose: Leveraging Action-Guided Motion and Kinematic Joint Encoding for Egocentric 3D Pose Estimation
Score 7.0stable
Higher Viability
CIGPose: Causal Intervention Graph Neural Network for Whole-Body Pose Estimation
Score 9.0up
Higher Viability
VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors
Score 8.0up

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