neukaren's repositories
automl
Google Brain AutoML
contrastive_sensor_fusion
Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".
convd
c2f to FasterNet
Counting-seedlings
codes necessary for the replication of the article's experiments
DCW
DeepWeed Benchmark 一种用于棉花生产系统中多类杂草检测的YOLO目标检测器的新基准
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
EMA-attention-module
Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at: https://arxiv.org/abs/2305.13563v2
faster-rcnn-keras
这是一个faster-rcnn的keras实现的库，可以利用voc数据集格式的数据进行训练。
Focal-EIoU
Implementation of the Focal EIoU for the YOLOv8. Replace the following files in the ultralytics/utils folder. Set Focal=False in the case of EIoU and for Focal-EIoU set Focal=True
Improved_-yolov5
his paper proposes a method based on YOLOv5s with an improved attention mechanism, which can accurately detect the number of small-scale wheat spikes and better solve the problems of occlusion and cross-overlapping of wheat spike
labelImg-
Label SLabel Studio是最灵活的开源数据标记工具，可用于图像、文本、超文本、音频、视频和时间序列数据
mmdetection
OpenMMLab Detection Toolbox and Benchmark
models
Models and examples built with TensorFlow
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
Past-and-present-small-object-detection
Latest paper about small object detection
tensorflow
An Open Source Machine Learning Framework for Everyone
trichomecounter
Trichomecounter
WIoU
WIoU implementation for the YOLOv8
yolo_tracking
A collection of SOTA real-time, multi-object trackers for object detectors
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolov8-with-focal_loss
Modify loss function of YOLOv8 model