Stars
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Based on the mmdetection framework, compute various salience maps for object detection.
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.
Image augmentation and change bounding box at the same time.
Deep Learning Based Steel Pipe Weld Defect Detection
Official implementation for paper "LightViT: Towards Light-Weight Convolution-Free Vision Transformers"
[CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Latest paper about small object detection
(IJCV2024 & ICCV2023) LSKNet: A Foundation Lightweight Backbone for Remote Sensing
鉴于该 填鸭式 方法对小目标的数据增强的详细的描述较少，故重新整理了代码，并添加了说明。按照md文件的说明，应该可以正常的运行
[ICCV 2023] Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection
Official code for "Tiny Object Detection in Aerial Images".
an edge-real-time anchor-free object detector with decent performance
A system to easily extract ground truth training data for different machine learning tasks from GTAV
train the latest YOLOv5 with drone dataset UAVDT
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
transform annotation format for CV learning, like yolo, coco, etc.
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Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these meth…
Large scale UAV dataset for Person detection
🕶 A curated list of Tiny Object Detection papers and related resources.
一些关于目标检测的脚本和改进思路代码，详细请看readme.md