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 1–25 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
self-prompting analogical reasoning for uav object detectionCode2
RemDet: Rethinking Efficient Model Design for UAV Object DetectionCode2
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial ImagesCode2
ESOD: Efficient Small Object Detection on High-Resolution ImagesCode2
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object DetectionCode2
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing ImageryCode2
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature IntegrationCode1
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI SlicesCode1
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target DetectionCode1
A Lightweight Insulator Defect Detection Model Based on Drone ImagesCode1
SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic ScenesCode1
MWIRSTD: A MWIR Small Target Detection DatasetCode1
Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban IntersectionCode1
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature CompressionCode1
FLAME Diffuser: Wildfire Image Synthesis using Mask Guided DiffusionCode1
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
HIC-YOLOv5: Improved YOLOv5 For Small Object DetectionCode1
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-ArtCode1
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation LearningCode1
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and ResultsCode1
Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and MethodCode1
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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