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OpenStripe supports open-set identification and spatial stripe profiling in wild Amur tigers

Paper recorded by Signals 4 on 2026-10-23 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-23 on arXiv · recorded by Signals 4 on 2026-10-26

Category: cs.CV · 计算机视觉 · first seen 2026-10-26

Abstract

Non-invasive camera-trap monitoring of endangered wildlife requires open-set individual identification---grouping field images into identities without predefined classes or a known population size---yet pose deformation and cluttered backgrounds complicate image comparison. Here, we present OpenStripe, a multi-agent framework that reconstructs canonical two-dimensional (2D) tiger torso patterns an

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#165 most recent of 756 cs.CV papers we have recorded · ↑ newer: Multimodal Generative AI Assists Comprehensive Echocardiographic Inter · ↓ older: Sounding Surgical Instrument Localisation through Audio-Visual Corresp
Cite this page: OpenStripe supports open-set identification and spatial stripe profiling in wild Amur tigers: the #165 most recent of 756 cs.CV papers we have recorded (as of 2026-10-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/openstripe-supports-open-set-identification-and-spatial-stripe-profiling-in-wild.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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