Long-tailed Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

18 shown of 18 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
  15 Dec 2020 2 repositories listed
  To address the problem of imbalanced gradients, we introduce a new version of equalization loss, called equalization loss v2 (EQL v2), a novel gradient guided reweighing mechanism that re-balances the training process…
• SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
  28 Dec 2024 1 repository listed
  Recent years have witnessed tremendous advances on modern visual recognition systems.
• DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
  21 Nov 2024 1 repository listed
  DINO-X employs the same Transformer-based encoder-decoder architecture as Grounding DINO 1.
• Fractal Calibration for long-tailed object detection
  15 Oct 2024 1 repository listed
  FRACAL devises a logit adjustment method that utilises the fractal dimension to estimate how uniformly classes are distributed in image space.
• Consensus Focus for Object Detection and minority classes
  10 Jan 2024 1 repository listed
  Ensemble methods exploit the availability of a given number of classifiers or detectors trained in single or multiple source domains and tasks to address machine learning problems such as domain adaptation or…
• Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection
  18 Oct 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  Specifically, we add a semantic branch to our detector to learn these soft semantics and enhance feature representations for long-tailed object detection.
• Balanced Classification: A Unified Framework for Long-Tailed Object Detection
  4 Aug 2023 1 repository listed
  In this paper, we contend that the learning bias originates from two factors: 1) the unequal competition arising from the imbalanced distribution of foreground categories, and 2) the lack of sample diversity in tail…
• Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
  24 May 2023 1 repository listed
  This paper focuses on long-tailed object detection in the semi-supervised learning setting, which poses realistic challenges, but has rarely been studied in the literature.
• Long-tail Detection with Effective Class-Margins
  23 Jan 2023 1 repository listed
  Large-scale object detection and instance segmentation face a severe data imbalance.
• Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
  17 Nov 2022 1 repository listed
  It has been proved that combining multiple pre-training strategies and data from various modalities/sources can greatly boost the training of large-scale models.
• Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
  11 Oct 2022 1 repository listed
  Specifically, there are an object detection task (consisting of an instance-classification task and a localization task) and an image-classification task in our framework, responsible for utilizing the two types of…
• The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition
  11 Oct 2022 1 repository listed
  Long-tail distribution is widely spread in real-world applications.
• Equalized Focal Loss for Dense Long-Tailed Object Detection
  7 Jan 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  The conventional focal loss balances the training process with the same modulating factor for all categories, thus failing to handle the long-tailed problem.
• Exploring Classification Equilibrium in Long-Tailed Object Detection
  17 Aug 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Specifically, EBL increases the intensity of the adjustment of the decision boundary for the weak classes by a designed score-guided loss margin between any two classes.
• On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
  5 Jul 2021 1 repository listed
  We propose NorCal, Normalized Calibration for long-tailed object detection and instance segmentation, a simple and straightforward recipe that reweighs the predicted scores of each class by its training sample size.
• MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
  17 Feb 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Many objects do not appear frequently enough in complex scenes (e.
• Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
  7 Nov 2020 1 repository listed
  To this end, we rethink long-tailed object detection in UAV images and propose the Dual Sampler and Head detection Network (DSHNet), which is the first work that aims to resolve long-tail distribution in UAV images.
• Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
  13 Aug 2020 1 repository listed
  In the classification tree, as the number of parent class nodes are significantly less, their logits are less noisy and can be utilized to suppress the wrong/noisy logits existed in the fine-grained class nodes.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.