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adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

adversarialnetspapers

The classical paper list with code about generative adversarial nets

bisenetv2-tensorflow

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image 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

coco

MS COCO API (fork with fix for Python3)

crossdomainfewshot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

daosl

Implementation of Domain Adaption in One-Shot Learning

dataset_to_coco.json

Transform any dataset to the style of json like coco dataset

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning-classification-with-tensorflow

We realized an integrated classification project from training from scratch to predict utilizing classical networks with tensorflow, including VGG16, ResNet series. With this repository, you can train your own data and realize prediction.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fair_self_supervision_benchmark

Scaling and Benchmarking Self-Supervised Visual Representation Learning

faster-rcnn_tf

Faster-RCNN in Tensorflow

fastmaskrcnn

Mask RCNN in TensorFlow

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fewshot-segmentation

On the Texture Bias for Few-Shot CNN Segmentation

fewx

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

fpn_tensorflow

A Tensorflow implementation of FPN detection framework.

fsms-surrogate

Semi-supervised few-shot learning for medical image segmentation

fsod-code

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xingdeshouzimudaxie

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hmr_openpose_zhj

结合OpenPose与HMR的实时人体三维建模，附带前端显示

ici-fsl

This repository contains the code for our paper "Instance Credibility Inference for Few-Shot Learning" in CVPR, 2020.

imgaug

Image augmentation for machine learning experiments.

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

keras-onnx

Convert tf.keras/Keras models to ONNX