lmm077's repositories
COMP-7807
COMP-7807
BLT
BLT
QDMN
[ECCV2022] Learning Quality-aware Dynamic Memory for Video Object Segmentation
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
PMM
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
openseg.pytorch
The Pytorch code of OCNet series and SegFix.
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。
SEAM
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
predrnn-pytorch
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
p2pvg
Implementation of ICCV 2019 paper: "Point-to-Point Video Generation". Paper: https://arxiv.org/abs/1904.02912
EMANet
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)
PyTorch-Encoding
A CV Toolkit
OCNet.pytorch
Please star the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!
pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
CCNet
CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Video_Inbetweening
Tensorflow implementation of paper "From Here to There: Video Inbetweening Using Direct 3D Convolutions" https://arxiv.org/pdf/1905.10240.pdf
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
NLRN
Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)
cse291g-sv2p
CDNA and SV2P reimplementation and improvement for class project
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-algorithm
LeetCode, HackRank, 剑指offer, classic algorithm implementation
pixel-models
Pytorch implementations of the PixelCNN (va Oord et al. 2016) and PixelVAE (Gulrajani et al. 2016) models
Algorithm_Interview_Notes-Chinese-1
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。