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

Showing 125 of 152 papers

TitleStatusHype
Slicing Aided Hyper Inference and Fine-tuning for Small Object DetectionCode5
Visible-Thermal Tiny Object Detection: A Benchmark Dataset and BaselinesCode3
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial ImagesCode2
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object DetectionCode2
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
RemDet: Rethinking Efficient Model Design for UAV Object DetectionCode2
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing ImageryCode2
ESOD: Efficient Small Object Detection on High-Resolution ImagesCode2
self-prompting analogical reasoning for uav object detectionCode2
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and ResultsCode1
A Normalized Gaussian Wasserstein Distance for Tiny Object DetectionCode1
A Lightweight Insulator Defect Detection Model Based on Drone ImagesCode1
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature IntegrationCode1
LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object DetectionCode1
MWIRSTD: A MWIR Small Target Detection DatasetCode1
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
Cascaded Zoom-in Detector for High Resolution Aerial ImagesCode1
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided DiffusionCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object DetectionCode1
Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban IntersectionCode1
HIC-YOLOv5: Improved YOLOv5 For Small Object DetectionCode1
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Benchmark Results

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