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 26–50 of 152 papers

TitleStatusHype
3D Small Object Detection with Dynamic Spatial PruningCode1
Cascaded Zoom-in Detector for High Resolution Aerial ImagesCode1
Local Contrast and Global Contextual Information Make Infrared Small Object Salient AgainCode1
LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object DetectionCode1
Towards Scene Understanding for Autonomous Operations on Airport ApronsCode1
UIU-Net: U-Net in U-Net for Infrared Small Object DetectionCode1
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial ImagesCode1
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
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object DetectionCode1
A Method for Detection of Small Moving Objects in UAV VideosCode1
Real-time gun detection in CCTV: An open problemCode1
Reducing Label Noise in Anchor-Free Object DetectionCode1
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector NetworkCode1
Extended Feature Pyramid Network for Small Object DetectionCode1
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object DetectionCode1
Augmentation for small object detectionCode1
Structure-measure: A New Way to Evaluate Foreground MapsCode1
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO—0
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
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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