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Object Detection In Aerial Images
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Object Detection in Aerial Images is the task of detecting objects from aerial images.
<span style="color:grey; opacity: 0.6">( Image credit: DOTA: A Large-Scale Dataset for Object Detection in Aerial Images )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection
Tiny Object Detection with Single Point Supervision
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual Tasks
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal
Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
LSKNet: A Foundation Lightweight Backbone for Remote Sensing
Robust Tiny Object Detection in Aerial Images amidst Label Noise
CLIP-Guided Source-Free Object Detection in Aerial Images
ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial Images
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning
Object Detection in Aerial Images in Scarce Data Regimes
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
On the Robustness of Object Detection Models on Aerial Images
Spatial Transform Decoupling for Oriented Object Detection
Density Crop-guided Semi-supervised Object Detection in Aerial Images
A Robust Feature Downsampling Module for Remote Sensing Visual Tasks
Hausdorff Distance Matching with Adaptive Query Denoising for Rotated Detection Transformer
A Billion-scale Foundation Model for Remote Sensing Images
Large Selective Kernel Network for Remote Sensing Object Detection
Adaptive Rotated Convolution for Rotated Object Detection
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
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