Object Detection In Aerial Images

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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

12 datasets 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

30 shown of 74 papers with code (107 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.

• RTMDet: An Empirical Study of Designing Real-Time Object Detectors
  14 Dec 2022 14 repositories listed Syntology ran 3 of 20 samples · 17 unverified
  In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.
• R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
  15 Aug 2019 10 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 3 pointer-only (licence)
  Considering the shortcoming of feature misalignment in existing refined single-stage detector, we design a feature refinement module to improve detection performance by getting more accurate features.
• DOTA: A Large-scale Dataset for Object Detection in Aerial Images
  28 Nov 2017 6 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  The fully annotated DOTA images contains $188, 282$ instances, each of which is labeled by an arbitrary (8 d.
• Oriented R-CNN for Object Detection
  12 Aug 2021 5 repositories listed
  Current state-of-the-art two-stage detectors generate oriented proposals through time-consuming schemes.
• SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
  28 Apr 2020 5 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Instance-level denoising on the feature map is performed to enhance the detection to small and cluttered objects.
• ReDet: A Rotation-equivariant Detector for Aerial Object Detection
  13 Mar 2021 4 repositories listed
  More precisely, we incorporate rotation-equivariant networks into the detector to extract rotation-equivariant features, which can accurately predict the orientation and lead to a huge reduction of model size.
• On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited
  12 Mar 2020 4 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  For the resulting circularly distributed angle classification problem, we first devise a Circular Smooth Label technique to handle the periodicity of angle and increase the error tolerance to adjacent angles.
• Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
  7 Jan 2025 3 repositories listed
  While witnessed with rapid development, remote sensing object detection remains challenging for detecting high aspect ratio objects.
• The KFIoU Loss for Rotated Object Detection
  29 Jan 2022 3 repositories listed Syntology ran 3 of 7 samples · 4 unverified
  This is in contrast to recent Gaussian modeling based rotation detectors e.
• Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
  19 Nov 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Rotation detection serves as a fundamental building block in many visual applications involving aerial image, scene text, and face etc.
• Align Deep Features for Oriented Object Detection
  21 Aug 2020 3 repositories listed
  However most of existing methods rely on heuristically defined anchors with different scales, angles and aspect ratios and usually suffer from severe misalignment between anchor boxes and axis-aligned convolutional…
• SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
  17 Nov 2018 3 repositories listed
  Specifically, a sampling fusion network is devised which fuses multi-layer feature with effective anchor sampling, to improve the sensitivity to small objects.
• MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
  20 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks.
• LSKNet: A Foundation Lightweight Backbone for Remote Sensing
  18 Mar 2024 2 repositories listed
  While a considerable amount of research has been dedicated to remote sensing classification, object detection and semantic segmentation, most of these studies have overlooked the valuable prior knowledge embedded within…
• PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
  4 Nov 2022 2 repositories listed
  With multi-scale training and testing, PP-YOLOE-R-l and PP-YOLOE-R-x further improve the detection precision to 80.
• Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
  8 Aug 2022 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  Large-scale vision foundation models have made significant progress in visual tasks on natural images, with vision transformers being the primary choice due to their good scalability and representation ability.
• An Empirical Study of Remote Sensing Pretraining
  6 Apr 2022 2 repositories listed
  To this end, we train different networks from scratch with the help of the largest RS scene recognition dataset up to now -- MillionAID, to obtain a series of RS pretrained backbones, including both convolutional neural…
• Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection
  19 Jun 2021 2 repositories listed
  Detecting oriented and densely packed objects remains challenging for spatial feature aliasing caused by the intersection of reception fields between objects.
• Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
  3 Jun 2021 2 repositories listed
  Taking the perspective that horizontal detection is a special case for rotated object detection, in this paper, we are motivated to change the design of rotation regression loss from induction paradigm to deduction…
• Oriented RepPoints for Aerial Object Detection
  24 May 2021 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In contrast to the generic object, aerial targets are often non-axis aligned with arbitrary orientations having the cluttered surroundings.
• Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
  24 Feb 2021 2 repositories listed
  In this paper, we present a large-scale Dataset of Object deTection in Aerial images (DOTA) and comprehensive baselines for ODAI.
• Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
  28 Jan 2021 2 repositories listed
  Boundary discontinuity and its inconsistency to the final detection metric have been the bottleneck for rotating detection regression loss design.
• Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
  8 Dec 2020 2 repositories listed
  With the newly introduced DAL, we achieve superior detection performance for arbitrary-oriented objects with only a few horizontal preset anchors.
• Learning Modulated Loss for Rotated Object Detection
  19 Nov 2019 2 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) to describe the rotated bounding box and l1-loss as the loss function.
• Learning RoI Transformer for Oriented Object Detection in Aerial Images
  1 Jun 2019 2 repositories listed
  Object detection in aerial images is an active yet challenging task in computer vision because of the bird's-eye view perspective, the highly complex backgrounds, and the variant appearances of objects.
• DroNet: Efficient convolutional neural network detector for real-time UAV applications
  18 Jul 2018 2 repositories listed
  Through the analysis we propose a CNN architecture that is capable of detecting vehicles from aerial UAV images and can operate between 5-18 frames-per-second for a variety of platforms with an overall accuracy of ~95%.
• xView: Objects in Context in Overhead Imagery
  22 Feb 2018 2 repositories listed
  We introduce a new large-scale dataset for the advancement of object detection techniques and overhead object detection research.
• VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
  28 May 2025 1 repository listed
  To address this gap, we present the Vehicles in the Middle East (VME) dataset, designed explicitly for vehicle detection in high-resolution satellite images from Middle Eastern countries.
• self-prompting analogical reasoning for uav object detection
  11 Apr 2025 1 repository listed
  While for analogical reasoningmodule, graph nodes consist of category-level prompt nodes and pixel-level image feature nodes.
• LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection
  18 Mar 2025 1 repository listed
  Remote sensing object detection (RSOD) faces formidable challenges in complex visual environments.

Syntology lines on 11 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.