# kemaloksuz/ObjectDetectionImbalance

Lists the papers related to imbalance problems in object detection [TPAMI]

Repository: https://github.com/kemaloksuz/ObjectDetectionImbalance
Canonical: https://ross.abutalabs.com/products/objectdetectionimbalance
License Family: other
Last push: 2021-07-29T07:22:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2564, "days_push": 1861, "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 1126, forks 171 (observed 2026-08-28T04:03:41.323102+00:00)

## What it is
A curated list of research papers addressing imbalance problems in object detection, organized by the taxonomy from the authors' TPAMI 2020 review paper. It covers class, scale, spatial, and objective imbalance with links to papers across sampling, loss design, and feature-level methods.

## Use cases
- find papers on class imbalance in object detection
- survey foreground-background imbalance methods
- research scale imbalance in object detection
- find papers on IoU distribution imbalance
- prepare a literature review on object detection imbalance
- find hard example mining papers for detection

## When to choose
- researching imbalance problems in object detection
- building a related-work section on detection imbalance
- finding baselines for imbalance-aware detection methods

## When to avoid
- looking for runnable code or implementations
- seeking imbalance solutions for other vision tasks like segmentation
- needing a maintained software library

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, machine-learning, documentation
- domain: computer-vision, machine-learning, deep-learning, awesome-lists
- platform: -
- tags: object-detection, paper-list, class-imbalance, survey, taxonomy, computer-vision-papers, web

## Member repositories
- kemaloksuz/ObjectDetectionImbalance (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.323102+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 2026-08-30T06:39:12.249880+00:00, confidence not recorded.
  - readme: https://github.com/kemaloksuz/ObjectDetectionImbalance (fetched 2026-08-28T04:03:41.323102+00:00, sha e493fa04eb39)
- Data as of 2026-08-30T08:39:29.467469+00:00.