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Small Object Detection

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하위 태스크: 1
평가표: 4
보존된 평가 기록: 12

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>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AIS-Clemson/FLAME_SD

공식 코드

FLAME Diffuser: Wildfire Image Synthesis using Mask Guided Diffusion

https://github.com/Bissmella/Small-object-detection-transformers

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Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images

https://github.com/Boshrakh/Yolov8-Small-Object-Detection-Arial-Images

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SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes

https://github.com/ChenhongyiYang/QueryDet-PyTorch

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QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

https://github.com/DengPingFan/S-measure

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Structure-measure: A New Way to Evaluate Foreground Maps

https://github.com/Jacoo-ai/HIC-Yolov5

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HIC-YOLOv5: Improved YOLOv5 For Small Object Detection

https://github.com/Jakaria08/Filter_Enhance_Detect

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Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

https://github.com/XinyiYing/RGBT-Tiny

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Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines

https://github.com/akhilpm/dronedetectron2

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Cascaded Zoom-in Detector for High Resolution Aerial Images

https://github.com/alibaba/esod

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ESOD: Efficient Small Object Detection on High-Resolution Images

https://github.com/arekavandi/transformer-sod

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Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art

https://github.com/avinres/mwirstd

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MWIRSTD: A MWIR Small Target Detection Dataset

https://github.com/chaytonmin/occupancy-mae

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Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

https://github.com/chaytonmin/voxel-mae

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Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

https://github.com/coolbay/Dr2Net

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Dr$^2$Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning

https://github.com/danfenghong/ieee_tip_uiu-net

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UIU-Net: U-Net in U-Net for Infrared Small Object Detection

https://github.com/duzw9311/cfpt

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Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images

https://github.com/fcakyon/sahi-benchmark

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Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

https://github.com/hieutrong512/Yoloz

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YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles

https://github.com/hzai-zjnu/remdet

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RemDet: Rethinking Efficient Model Design for UAV Object Detection

https://github.com/icey-zhang/SuperYOLO

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SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

https://github.com/iim-ttij/mva2023smallobjectdetection4spottingbirds

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MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

https://github.com/jwwangchn/NWD

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A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

https://github.com/lijfrank-open/SFCHD-SCALE

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Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method

https://github.com/lojzezust/pansr

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PanSR: An Object-Centric Mask Transformer for Panoptic Segmentation

https://github.com/malagoutou/select-mosaic

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Select-Mosaic: Data Augmentation Method for Dense Small Object Scenes

https://github.com/mkang315/pk-yolo

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PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices

https://github.com/mlcaepiee/simuav

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A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion

https://github.com/nalemadi/VME_CDSI_dataset_benchmark

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VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond

https://github.com/nerminsamet/ppdet

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Reducing Label Noise in Anchor-Free Object Detection

https://github.com/o937-blip/simir

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Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection

https://github.com/obss/sahi

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Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection

https://github.com/qxgeng/dea-net

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Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images

https://github.com/rezafuru/the-fool

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FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression

https://github.com/roboflow-ai/roboflow-100-benchmark

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Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

https://github.com/scnu-rislab/yolo-ant

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YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.