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  1. Home
  2. Signal Canvas
  3. EdgeDAM: Real-time Object Tracking for Mobile Devices
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EdgeDAM: Real-time Object Tracking for Mobile Devices

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: EdgeDAM: Real-time Object Tracking for Mobile Devices

PDF: https://arxiv.org/pdf/2603.05463v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 7.0

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No public code linked for this paper yet.

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Keep exploring

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Interactive Tracking: A Human-in-the-Loop Paradigm with Memory-Augmented Adaptation
Score 7.0stable
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FC-Track: Overlap-Aware Post-Association Correction for Online Multi-Object Tracking
Score 7.0stable
Prior Work
Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift
Score 7.0stable
Prior Work
Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition
Score 7.0stable
Prior Work
ModTrack: Sensor-Agnostic Multi-View Tracking via Identity-Informed PHD Filtering with Covariance Propagation
Score 7.0stable
Prior Work
RiO-DETR: DETR for Real-time Oriented Object Detection
Score 7.0stable
Prior Work
Out of Sight, Out of Track: Adversarial Attacks on Propagation-based Multi-Object Trackers via Query State Manipulation
Score 7.0stable
Higher Viability
AsyncMDE: Real-Time Monocular Depth Estimation via Asynchronous Spatial Memory
Score 8.0up

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