LY54's repositories
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
BMEC
Bone Morrow Erythroid cells dataset for classification research.
CDCN
Central Difference Convolutional Networks (CVPR'20)
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
D-CLOSE
A PyTorch implementation of D-CLOSE
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
dermoscopic_img_retrieval
[MedIA] Dermoscopic image retrieval based on rotation-invariance deep hashing
fft-conv-pytorch
Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.
gcn_tf
Implementation of Graph Convolutional Networks in TensorFlow
learnopencv
Learn OpenCV : C++ and Python Examples
lime
Lime: Explaining the predictions of any machine learning classifier
MARLClassification
Image classification using reinforcement learning and multi-agent system
Model-Interpretation
Overview of different model interpretability libraries.
objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
OneNet
[ICML2021] What Makes for End-to-End Object Detection
openSAR
Synthetic Aperture Radar (SAR) Tools and Documents from Earth Big Data LLC
PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and model validation
pytorch-center-loss
Pytorch implementation of Center Loss
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Rotation-Invariant-Coordinate-Convolutional-Neural-Network
The code of the paper "RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network"
SHAPObjectDetection
SHAP-Based Interpretable Object Detection Method for Satellite Imagery
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
yolo-gradcam
yolo model with gradcam visual.
yolov5_obb
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/