# gary23ai/awesome_OpenSetRecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Repository: https://github.com/gary23ai/awesome_OpenSetRecognition_list
Canonical: https://ross.abutalabs.com/products/awesome_opensetrecognition_list
License Family: other
Topics: awesome-list, open-set-recognition, open-word-recognition, open-source, out-of-distribution-detection, open-set-domain-adaptation, open-set
Last push: 2024-03-01T20:20:42+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2786, "days_push": 915, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1207, forks 149 (observed 2026-08-28T04:03:59.486608+00:00)

## What it is
A curated awesome-list of papers, tutorials, surveys, and challenges on open set recognition, out-of-distribution detection, open set domain adaptation, and open world recognition. It organizes research resources into categorized sections with alphabetically ordered paper tables.

## Use cases
- find papers on open set recognition
- learn about out-of-distribution detection methods
- research open set domain adaptation
- survey open world recognition literature
- find tutorials and surveys on anomaly detection
- get started with open set recognition research

## When to choose
- you need a starting point for academic research on open set recognition or OOD detection
- you want a categorized bibliography of papers in this niche
- you are looking for tutorials and surveys on open world recognition

## When to avoid
- you need runnable code or a software library rather than paper references
- you need an exhaustive or continuously updated list
- you need practical tooling for deploying OOD detection in production

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: machine-learning, artificial-intelligence, awesome-lists
- platform: -
- tags: awesome-list, open-set-recognition, out-of-distribution-detection, open-set-domain-adaptation, open-world-recognition, papers, anomaly-detection, research, web-server

## Member repositories
- gary23ai/awesome_OpenSetRecognition_list (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.486608+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:58.942145+00:00, confidence not recorded.
  - readme: https://github.com/gary23ai/awesome_OpenSetRecognition_list (fetched 2026-08-28T04:03:59.486608+00:00, sha 380401f0002f)
- Data as of 2026-08-30T08:39:29.467469+00:00.