Papers Small Object Detection
“Small Object Detection” 태그가 달린 논문 203편 · 필터 해제
Boundary and Position Information Mining for Aerial Small Object Detection
Unmanned Aerial Vehicle (UAV) applications have become increasingly prevalent in aerial photography and object recognition. However, there are major challenges to accurately capturing small targets in object detection du…
Small Object DetectionObject RecognitionCoLR-Det: Collaborative Latent Restoration for Small Object Detection in Low-Resolution Remote Sensing Images
Low-resolution remote sensing small object detection is limited by both missing visual details and the ambiguity of how details serve detection. Existing super-resolution-assisted detectors generally follow a restoration…
Small Object DetectionScalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
Infrared small object detection urgently requires semi-supervised paradigms due to the high cost of annotation. However, existing methods like SAM face significant challenges of domain gaps, inability of encoding physica…
Knowledge DistillationSmall Object DetectionSCAFusion: A Multimodal 3D Detection Framework for Small Object Detection in Lunar Surface Exploration
Reliable and precise detection of small and irregular objects, such as meteor fragments and rocks, is critical for autonomous navigation and operation in lunar surface exploration. Existing multimodal 3D perception metho…
Small Object Detection3D Object DetectionAutonomous DrivingYolovN-CBi: A Lightweight and Efficient Architecture for Real-Time Detection of Small UAVs
Unmanned Aerial Vehicles, commonly known as, drones pose increasing risks in civilian and defense settings, demanding accurate and real-time drone detection systems. However, detecting drones is challenging because of th…
Knowledge DistillationSmall Object DetectionYOLO11-4K: An Efficient Architecture for Real-Time Small Object Detection in 4K Panoramic Images
The processing of omnidirectional 360-degree images poses significant challenges for object detection due to inherent spatial distortions, wide fields of view, and ultra-high-resolution inputs. Conventional detectors suc…
Robust Object DetectionSmall Object DetectionDFIR-DETR: Frequency-Domain Iterative Refinement and Dynamic Feature Aggregation for Small Object Detection
Small object detection in complex scenes exposes a fundamental tension in neural network design: backbone attention distributes computation uniformly regardless of content, pyramid necks inflate activation magnitudes dur…
Small Object DetectionEnhancing Small Object Detection with YOLO: A Novel Framework for Improved Accuracy and Efficiency
This paper investigates and develops methods for detecting small objects in large-scale aerial images. Current approaches for detecting small objects in aerial images often involve image cropping and modifications to det…
Small Object DetectionImage CroppingDual-Stream Spectral Decoupling Distillation for Remote Sensing Object Detection
Knowledge distillation is an effective and hardware-friendly method, which plays a key role in lightweighting remote sensing object detection. However, existing distillation methods often encounter the issue of mixed fea…
Knowledge DistillationSmall Object DetectionMKSNet: Advanced Small Object Detection in Remote Sensing Imagery with Multi-Kernel and Dual Attention Mechanisms
Deep convolutional neural networks (DCNNs) have substantially advanced object detection capabilities, particularly in remote sensing imagery. However, challenges persist, especially in detecting small objects where the h…
Small Object DetectionSmall Object Detection for Birds with Swin Transformer
Object detection is the task of detecting objects in an image. In this task, the detection of small objects is particularly difficult. Other than the small size, it is also accompanied by difficulties due to blur, occlus…
Small Object DetectionMambaRefine-YOLO: A Dual-Modality Small Object Detector for UAV Imagery
Small object detection in Unmanned Aerial Vehicle (UAV) imagery is a persistent challenge, hindered by low resolution and background clutter. While fusing RGB and infrared (IR) data offers a promising solution, existing …
Computational EfficiencySmall Object DetectionMaritime Small Object Detection from UAVs using Deep Learning with Altitude-Aware Dynamic Tiling
Unmanned Aerial Vehicles (UAVs) are crucial in Search and Rescue (SAR) missions due to their ability to monitor vast maritime areas. However, small objects often remain difficult to detect from high altitudes due to low …
Small Object DetectionA lightweight detector for real-time detection of remote sensing images
Remote sensing imagery is widely used across various fields, yet real-time detection remains challenging due to the prevalence of small objects and the need to balance accuracy with efficiency. To address this, we propos…
Small Object DetectionSeeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
Clean images are crucial for visual tasks such as small object detection, especially at high resolutions. However, real-world images are often degraded by adverse weather, and weather restoration methods may sacrifice hi…
Small Object DetectionGeneralized-Scale Object Counting with Gradual Query Aggregation
Few-shot detection-based counters estimate the number of instances in the image specified only by a few test-time exemplars. A common approach to localize objects across multiple sizes is to merge backbone features of di…
Small Object DetectionObject CountingPRNet: Original Information Is All You Have
Small object detection in aerial images suffers from severe information degradation during feature extraction due to limited pixel representations, where shallow spatial details fail to align effectively with semantic in…
Small Object DetectionHierLight-YOLO: A Hierarchical and Lightweight Object Detection Network for UAV Photography
The real-time detection of small objects in complex scenes, such as the unmanned aerial vehicle (UAV) photography captured by drones, has dual challenges of detecting small targets (<32 pixels) and maintaining real-time …
Small Object DetectionSDE-DET: A Precision Network for Shatian Pomelo Detection in Complex Orchard Environments
Pomelo detection is an essential process for their localization, automated robotic harvesting, and maturity analysis. However, detecting Shatian pomelo in complex orchard environments poses significant challenges, includ…
Small Object DetectionA Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models
Underwater object detection (UOD) is vital to diverse marine applications, including oceanographic research, underwater robotics, and marine conservation. However, UOD faces numerous challenges that compromise its perfor…
Synthetic Data GenerationSmall Object Detection