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
Select-Mosaic: Data Augmentation Method for Dense Small Object ScenesCode0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5—0
YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source DetectionCode0
Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion—0
Dr^2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient FinetuningCode0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental ComparisonsCode0
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications—0
S^3AD: Semi-supervised Small Apple Detection in Orchard Environments—0
DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network—0
Joint-YODNet: A Light-weight Object Detector for UAVs to Achieve Above 100fps—0
Dynamic Tiling: A Model-Agnostic, Adaptive, Scalable, and Inference-Data-Centric Approach for Efficient and Accurate Small Object Detection—0
OccupancyDETR: Using DETR for Mixed Dense-sparse 3D Occupancy Prediction—0
Small Object Detection for Birds with Swin Transformer—0
Ensemble Fusion for Small Object Detection—0
BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection EvaluationCode0
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime—0
High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection—0
TinyDet: Accurate Small Object Detection in Lightweight Generic Detectors—0
Context-Aware Block Net for Small Object Detection—0
Video text tracking for dense and small text based on pp-yoloe-r and sort algorithm—0
A novel Multi to Single Module for small object detection—0
Automatic detection of aerial survey ground control points based on Yolov5-OBB—0
Confidence-driven Bounding Box Localization for Small Object 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