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 101–150 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
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance LossCode0
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar—0
SWIPENET: Object detection in noisy underwater images—0
Mind the Pad -- CNNs can Develop Blind SpotsCode0
Intrinsic Relationship Reasoning for Small Object Detection—0
1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection TrackCode0
HRDNet: High-resolution Detection Network for Small Objects—0
MultiResolution Attention Extractor for Small Object Detection—0
Underwater object detection using Invert Multi-Class Adaboost with deep learning—0
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos—0
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology—0
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos—0
Small Object Detection using Context and Attention—0
IPG-Net: Image Pyramid Guidance Network for Small Object Detection—0
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection—0
Small traffic sign detection from large image—0
The Power of Tiling for Small Object Detection—0
Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection—0
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network—0
MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks—0
MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small ObjectsCode0
Feature Selective Small Object Detection via Knowledge-based Recurrent Attentive Neural Network—0
3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI—0
Feature-Fused SSD: Fast Detection for Small ObjectsCode0
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects—0
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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
2DL method (YOLOv8 + Ensamble)AP5073.1—Unverified
3GFL + Test Time AugmentationAP5073.1—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