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 51–75 of 152 papers

TitleStatusHype
YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source DetectionCode0
1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection TrackCode0
Small Object Detection via Pixel Level Balancing With Applications to Blood Cell DetectionCode0
BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection EvaluationCode0
Dr^2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient FinetuningCode0
Select-Mosaic: Data Augmentation Method for Dense Small Object ScenesCode0
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D SensingCode0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small ObjectsCode0
Mind the Pad -- CNNs can Develop Blind SpotsCode0
PanSR: An Object-Centric Mask Transformer for Panoptic SegmentationCode0
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection—0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery—0
HRDNet: High-resolution Detection Network for Small Objects—0
DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection—0
Application of YOLOv8 in monocular downward multiple Car Target detection—0
HMPE:HeatMap Embedding for Efficient Transformer-Based Small Object Detection—0
High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection—0
DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network—0
A novel Multi to Single Module for small object detection—0
Context in object detection: a systematic literature review—0
Focus-and-Detect: A Small Object Detection Framework for Aerial Images—0
Context-Aware Block Net for Small Object Detection—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Evaluation of YOLO Models with Sliced Inference 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