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 76–100 of 152 papers

TitleStatusHype
Small Object Detection using Context and Attention—0
Small Object Detection using Deep Learning—0
Small traffic sign detection from large image—0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network—0
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos—0
SWIPENET: Object detection in noisy underwater images—0
The Power of Tiling for Small Object Detection—0
TinyDet: Accurate Small Object Detection in Lightweight Generic Detectors—0
Towards Large-Scale Small Object Detection: Survey and Benchmarks—0
Underwater object detection using Invert Multi-Class Adaboost with deep learning—0
Video text tracking for dense and small text based on pp-yoloe-r and sort algorithm—0
XS-VID: An Extremely Small Video Object Detection Dataset—0
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction—0
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5—0
YOLOv5-Based Object Detection for Emergency Response in Aerial Imagery—0
MASF-YOLO: An Improved YOLOv11 Network for Small Object Detection on Drone View—0
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI—0
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO—0
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance—0
An advanced YOLOv3 method for small object detection—0
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach—0
A novel Multi to Single Module for small object detection—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
Automatic detection of aerial survey ground control points based on Yolov5-OBB—0
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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