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312

awesome-crowd-counting

Awesome Crowd Counting

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-incremental-learning

Awesome Incremental Learning

awesome-lane-detection

A paper list of lane detection.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-panoptic-segmentation

Panoptic Segmentation Resources List

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe

Caffe: a fast open framework for deep learning.

codingpractice

code practice process record

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

dr.sure

🏫DeepLearning学习笔记以及Tensorflow使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术，欢迎批评指正。

efficientdnns

Collection of recent methods on DNN compression and acceleration

face-dataset

Face related datasets

gluon-cv

Gluon CV Toolkit

graph-neural-networks-roadmap

image-enhancement

图像增强，包括样本附近固定大小随机裁剪，尺度变换，样本尺寸限制等！

kaggle

lane_pytorch

lane detection

learn-python3

Learn Python 3 Sample Code

leetcode

LeetCode Problems' Solutions

mask_rcnn_pytorch

Mask R-CNN for object detection and instance segmentation on Pytorch

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for binary value of feature(A))

multi-human-parsing

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

music_recommendation

objectbox

(ECCV 22 Oral) ObjectBox: From Centers to Boxes for Anchor-Free Object Detection