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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 152 papers

TitleStatusHype
Deep-NFA: a Deep a contrario Framework for Small Object Detection—0
Flying Bird Object Detection Algorithm in Surveillance Video Based on Motion Information—0
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector—0
An advanced YOLOv3 method for small object detection—0
iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection—0
PSA-Det3D: Pillar Set Abstraction for 3D object Detection—0
Multiple Object Tracking in Recent Times: A Literature Review—0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Chosen methods of improving small object recognition with weak recognizable features—0
Towards Large-Scale Small Object Detection: Survey and Benchmarks—0
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance—0
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell DetectionCode0
DETR++: Taming Your Multi-Scale Detection Transformer—0
Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images—0
RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds—0
Prescriptive and Descriptive Approaches to Machine-Learning Transparency—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
Evaluation of YOLO Models with Sliced Inference for Small Object Detection—0
Colonoscopy polyp detection with massive endoscopic images—0
Small Object Detection using Deep Learning—0
Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art—0
Detecting Small Objects in Thermal Images Using Single-Shot Detector—0
Small Object Detection Based on Modified FSSD and Model Compression—0
Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario—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