- 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
Deserant/Tiny-Object-Detection-Papers
"My imagination makes me human and makes me a fool; it gives me all the world and exiles me from it."― Ursula K. Le Guin