Tiny Object Detection Papers

• Scale-Transferrable Object Detection
• Speed/accuracy trade-offs for modern convolutional object detectors
• MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection
• MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
• M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
• Scale-Aware Trident Networks for Object Detection
• RepPoints: Point Set Representation for Object Detection
• Object Detection in 20 Years: A Survey
• A Survey of Deep Learning-based Object Detection
• Recent Advances in Deep Learning for Object Detection
• Imbalance Problems in Object Detection: A Review
• EfficientDet: Scalable and Efficient Object Detection
• Scale Match for Tiny Person Detection
• MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection
• Cross-dataset Training for Class Increasing Object Detection
• TBC-Net: A real-time detector for infrared small target detection using semantic constraint
• End-to-End Object Detection with Transformers
• MultiResolution Attention Extractor for Small Object Detection
• HRDNet: High-resolution Detection Network for Small Objects
• RepPoints v2: Verification Meets Regression for Object Detection
• Corner Proposal Network for Anchor-free, Two-stage Object Detection
• Intrinsic Relationship Reasoning for Small Object Detection
• Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
• Effective Fusion Factor in FPN for Tiny Object Detection
• Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
• ReDet: A Rotation-equivariant Detector for Aerial Object Detection
• Learning Calibrated-Guidance for Object Detection in Aerial Images
• Oriented Bounding Boxes for Small and Freely Rotated Objects
• BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos
• Pedestrian Detection: A Benchmark
• Small Instance Detection by Integer Programming on Object Density Maps
• Learning Object-Wise Semantic Representation for Detection in Remote Sensing Imagery
• High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
• NightOwls: A Pedestrians at Night Dataset
• Enriched Feature Guided Refinement Network for Object Detection
• Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection
• Object Detection Combining Recognition and Segmentation
• Pedestrian Detection: An Evaluation of the State of the Art
• DeepScores – A Dataset for Segmentation, Detection and Classification of Tiny Objects
• Deep Feature Pyramid Reconfiguration for Object Detection
• The Power of Tiling for Small Object Detection
• Efficient Object Detection in Large Images Using Deep Reinforcement Learning
• Clustered Object Detection in Aerial Images
• SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
• SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network
• Robust Face Detection via Learning Small Faces on Hard Images
• S3FD: Single Shot Scale-invariant Face Detector
• Feature Selective Anchor-Free Module for Single-Shot Object Detection