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Small Object Detection
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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.
<span style="color:grey; opacity: 0.6">( Image credit: Feature-Fused SSD )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection
Application of YOLOv8 in monocular downward multiple Car Target detection
Learning to Borrow Features for Improved Detection of Small Objects in Single-Shot Detectors
MASF-YOLO: An Improved YOLOv11 Network for Small Object Detection on Drone View
HMPE:HeatMap Embedding for Efficient Transformer-Based Small Object Detection
Context in object detection: a systematic literature review
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications
YOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
Multi-Point Positional Insertion Tuning for Small Object Detection
RemDet: Rethinking Efficient Model Design for UAV Object Detection
PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation
Analysis of Object Detection Models for Tiny Object in Satellite Imagery: A Dataset-Centric Approach
YOLOv5-Based Object Detection for Emergency Response in Aerial Imagery
Dynamic Attention and Bi-directional Fusion for Safety Helmet Wearing Detection
Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking
SL-YOLO: A Stronger and Lighter Drone Target Detection Model
Interactive Image-Based Aphid Counting in Yellow Water Traps under Stirring Actions
Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration
LAM-YOLO: Drones-based Small Object Detection on Lighting-Occlusion Attention Mechanism YOLO
PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices
Robust infrared small target detection using self-supervised and a contrario paradigms
Self-Supervised Learning for Real-World Object Detection: a Survey
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection
BFA-YOLO: A balanced multiscale object detection network for building façade attachments detection
Small Object Detection for Indoor Assistance to the Blind using YOLO NAS Small and Super Gradients
IDD-YOLOv5: A Lightweight Insulator Defect Real-time Detection Algorithm
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques
Infra-YOLO: Efficient Neural Network Structure with Model Compression for Real-Time Infrared Small Object Detection
SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
XS-VID: An Extremely Small Video Object Detection Dataset
ESOD: Efficient Small Object Detection on High-Resolution Images
Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines
DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection
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