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 101150 of 152 papers

TitleStatusHype
Prescriptive and Descriptive Approaches to Machine-Learning Transparency0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images0
Evaluation of YOLO Models with Sliced Inference for Small Object Detection0
Colonoscopy polyp detection with massive endoscopic images0
Slicing Aided Hyper Inference and Fine-tuning for Small Object DetectionCode5
Small Object Detection using Deep Learning0
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 Art0
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 Detector0
Small Object Detection Based on Modified FSSD and Model Compression0
Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario0
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 Radar0
Real-time gun detection in CCTV: An open problemCode1
SWIPENET: Object detection in noisy underwater images0
Mind the Pad -- CNNs can Develop Blind SpotsCode0
Intrinsic Relationship Reasoning for Small Object Detection0
1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection TrackCode0
Reducing Label Noise in Anchor-Free Object DetectionCode1
HRDNet: High-resolution Detection Network for Small Objects0
MultiResolution Attention Extractor for Small Object Detection0
Underwater object detection using Invert Multi-Class Adaboost with deep learning0
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos0
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology0
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
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos0
Small Object Detection using Context and Attention0
IPG-Net: Image Pyramid Guidance Network for Small Object Detection0
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection0
Small traffic sign detection from large image0
The Power of Tiling for Small Object Detection0
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object DetectionCode1
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection0
Augmentation for small object detectionCode1
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network0
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks0
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small ObjectsCode0
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network0
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI0
Feature-Fused SSD: Fast Detection for Small ObjectsCode0
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects0
Structure-measure: A New Way to Evaluate Foreground MapsCode1
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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