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
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
Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing ImagesCode1
DANet: Enhancing Small Object Detection through an Efficient Deformable Attention Network—0
HIC-YOLOv5: Improved YOLOv5 For Small Object DetectionCode1
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
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-ArtCode1
Small Object Detection for Birds with Swin Transformer—0
Ensemble Fusion for Small Object Detection—0
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation LearningCode1
BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection EvaluationCode0
MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and ResultsCode1
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime—0
Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and MethodCode1
3D Small Object Detection with Dynamic Spatial PruningCode1
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
Cascaded Zoom-in Detector for High Resolution Aerial ImagesCode1
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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