SOTAVerified

Small Object Detection

Small Object Detection is a computer vision task that involves detecting and localizing small objects in images or videos. This task is challenging due to the small size and low resolution of the objects, as well as other factors such as occlusion, background clutter, and variations in lighting conditions.

( Image credit: Feature-Fused SSD )

Papers

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Showing 101–125 of 152 papers

TitleStatusHype
Prescriptive and Descriptive Approaches to Machine-Learning Transparency—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
Evaluation of YOLO Models with Sliced Inference for Small Object Detection—0
Colonoscopy polyp detection with massive endoscopic images—0
Slicing Aided Hyper Inference and Fine-tuning for Small Object DetectionCode5
Small Object Detection using Deep Learning—0
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionCode1
The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial DomainsCode1
A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive FusionCode1
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
Detecting Small Objects in Thermal Images Using Single-Shot Detector—0
Small Object Detection Based on Modified FSSD and Model Compression—0
Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario—0
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object DetectionCode1
A Method for Detection of Small Moving Objects in UAV VideosCode1
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar—0
Real-time gun detection in CCTV: An open problemCode1
SWIPENET: Object detection in noisy underwater images—0
Mind the Pad -- CNNs can Develop Blind SpotsCode0
Intrinsic Relationship Reasoning for Small Object Detection—0
1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection TrackCode0
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All datasetsSOD4SB Private TestSOD4SB Public TestBee4Exp Honeybee DetectionSODA-D

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Weighted Box Fusion (WBF)AP5030.3—Unverified
2GFL + Test Time AugmentationAP5023.7—Unverified
3DL method (YOLOv8 + Ensamble)AP5022.9—Unverified
4Swin Transformer + Hierarchical designAP5022.6—Unverified
5E2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet)AP5022.1—Unverified
#ModelMetricClaimedVerifiedStatus
1Weighted Box Fusion (WBF)AP5077.6—Unverified
2GFL + Test Time AugmentationAP5073.1—Unverified
3DL method (YOLOv8 + Ensamble)AP5073.1—Unverified
4Swin Transformer + Hierarchical designAP5070.2—Unverified
5E2 method (Normalized Gaussian Wasserstein Distance + Switch Hard Augmentation + Multi scale train + Weight Moving Average + CenterNet + VarifocalNet)AP5069.6—Unverified
#ModelMetricClaimedVerifiedStatus
1BeeDetectorAverage F10.86—Unverified
#ModelMetricClaimedVerifiedStatus
1CFINetmAP@0.5:0.9530.7—Unverified