gaowq2017's repositories
FSMS-Surrogate
Semi-supervised few-shot learning for medical image segmentation
fewshot-segmentation
On the Texture Bias for Few-Shot CNN Segmentation
P_Net_Anomaly_Detection
This is the implementation of our paper in ECCV 2020.
bisenetv2-tensorflow
Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
chineseocr_lite
超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M
CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
Dataset_to_coco.json
Transform any dataset to the style of json like coco dataset
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
fair_self_supervision_benchmark
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
selfstudy-render
Code to generate datasets used in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
SemanticSegmentation-Libtorch
Libtorch Examples
student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
tensorflow-deeplab-v3-plus
DeepLabv3+ built in TensorFlow
TensorRT-Alpha
🔥《TensorRT-Alpha》🔥supports YOLOv8, YOLOv7, YOLOv6, YOLOv5, YOLOv4, YOLOv3, YOLOX, YOLOR and so on. It implements 🚀 CUDA C++🚀 accelerated deployment models.🍎CUDA IS ALL YOU NEED🍎.Best Wish!
yolov8-tensorrt
YOLOv8的TensorRT+CUDA加速部署,代码可在Win、Linux下运行。
yolov9
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information