Small Object Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

13 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 60 papers with code (152 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.

• An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
  22 Apr 2019 12 repositories listed
  As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task.
• Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection
  14 Feb 2022 6 repositories listed Syntology ran 1 of 19 samples · 18 unverified
  In this work, an open-source framework called Slicing Aided Hyper Inference (SAHI) is proposed that provides a generic slicing aided inference and fine-tuning pipeline for small object detection.
• Augmentation for small object detection
  19 Feb 2019 5 repositories listed
  We evaluate different pasting augmentation strategies, and ultimately, we achieve 9.
• Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network
  20 Mar 2020 4 repositories listed
  Inspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and use different detector networks in…
• Small Object Detection via Pixel Level Balancing With Applications to Blood Cell Detection
  17 Jun 2022 3 repositories listed
  This method can perform well with blood cell detection in our experiments.
• A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
  26 Oct 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Our key observation is that Intersection over Union (IoU) based metrics such as IoU itself and its extensions are very sensitive to the location deviation of the tiny objects, and drastically deteriorate the detection…
• Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again
  28 Jan 2023 2 repositories listed
  On the other hand, FFC can gain image-level receptive fields and extract global information while preventing small objects from being overwhelmed.
• Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders
  20 Jun 2022 2 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  This work proposes a solution to reduce the dependence on labelled 3D training data by leveraging pre-training on large-scale unlabeled outdoor LiDAR point clouds using masked autoencoders (MAE).
• YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
  22 Dec 2021 2 repositories listed
  As autonomous vehicles and autonomous racing rise in popularity, so does the need for faster and more accurate detectors.
• 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.
• Real-time gun detection in CCTV: An open problem
  1 Dec 2020 2 repositories listed
  This article presents a new dataset obtained from a real CCTV installed in a university and the generation of synthetic images, to which Faster R-CNN was applied using Feature Pyramid Network with ResNet-50 resulting in…
• 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.
• RemDet: Rethinking Efficient Model Design for UAV Object Detection
  13 Dec 2024 1 repository listed
  On the challenging UAV dataset VisDrone, our methods not only provided state-of-the-art results, improving detection by more than 3.
• PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
  13 Dec 2024 1 repository listed
  Panoptic segmentation is a fundamental task in computer vision and a crucial component for perception in autonomous vehicles.
• Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration
  14 Nov 2024 1 repository listed
  In recent years, attention mechanisms have significantly enhanced the performance of object detection by focusing on key feature information.
• PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices
  29 Oct 2024 1 repository listed Syntology ran 13 of 34 samples · 21 unverified · 34 pointer-only (licence)
  In this paper, we propose a new You Only Look Once (YOLO)-based detection model that incorporates Pretrained Knowledge (PK), called PK-YOLO, to improve the performance for brain tumor detection in multiplane MRI slices.
• Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection
  7 Sep 2024 1 repository listed
  Recent advancements in deep learning have greatly advanced the field of infrared small object detection (IRSTD).
• A Lightweight Insulator Defect Detection Model Based on Drone Images
  26 Aug 2024 1 repository listed
  Initially, the backbone network of IDD-YOLO employs GhostNet for feature extraction.
• IDD-YOLOv5: A Lightweight Insulator Defect Real-time Detection Algorithm
  19 Aug 2024 1 repository listed
  In order to achieve real-time detection of insulator defects in transmission lines, this paper proposes an improved insulator defect detection algorithm based on the YOLOv5s model, named IDD-YOLOv5.
• SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes
  8 Aug 2024 1 repository listed
  Despite significant advances in object detection, detecting small objects in images captured by distant cameras remains challenging due to their size, distance from the camera, varied shapes, and cluttered backgrounds.
• Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
  29 Jul 2024 1 repository listed
  In this paper, we introduce the Cross-Layer Feature Pyramid Transformer (CFPT), a novel upsampler-free feature pyramid network designed specifically for small object detection in aerial images.
• ESOD: Efficient Small Object Detection on High-Resolution Images
  23 Jul 2024 1 repository listed
  The resulting Efficient Small Object Detection (ESOD) approach is a generic framework, which can be applied to both CNN- and ViT-based detectors to save the computation and GPU memory costs.
• Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines
  20 Jun 2024 1 repository listed
  Based on the proposed RGBT-Tiny dataset and SAFit measure, extensive evaluations have been conducted, including 23 recent state-of-the-art algorithms that cover four different types (i.
• Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing
  12 Jun 2024 1 repository listed
  For example, our extensive evaluations on Waymo, nuScenes, and KITTI datasets show that the approach achieves over a 5% average precision improvement in detection tasks across datasets and over a 4% accuracy improvement…
• MWIRSTD: A MWIR Small Target Detection Dataset
  12 Jun 2024 1 repository listed
  This paper presents a novel mid-wave infrared (MWIR) small target detection dataset (MWIRSTD) comprising 14 video sequences containing approximately 1053 images with annotated targets of three distinct classes of small…
• Select-Mosaic: Data Augmentation Method for Dense Small Object Scenes
  8 Jun 2024 1 repository listed
  Data augmentation refers to the process of applying a series of transformations or expansions to original data to generate new samples, thereby increasing the diversity and quantity of the data, effectively improving…
• Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection
  25 Apr 2024 1 repository listed
  The dataset addresses the need for curated data to explore problems in small object detection exemplified by the limited pixel footprint of pedestrians observed tens of meters from above.
• FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
  25 Mar 2024 1 repository listed
  Further, it embeds context and leverages inter-tile dependencies to lower transfer costs with negligible overhead.
• HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection
  16 Mar 2024 1 repository listed
  Infrared small object detection is an important computer vision task involving the recognition and localization of tiny objects in infrared images, which usually contain only a few pixels.

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.