zmlmanly's Stars
kpzhang93/MTCNN_face_detection_alignment
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
hanson-young/nniefacelib
nniefacelib是一个在海思35xx系列芯片上运行的人脸算法库
Strand2013/NNIE-lite
⚡️ Using NNIE as simple as using ncnn ⚡️
aovoc/nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
dmarnerides/hdr-expandnet
Training and inference code for ExpandNet
alex04072000/SingleHDR
[CVPR 2020] Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
msmsajjadi/FRVSR
Frame-Recurrent Video Super-Resolution (official repository)
z-bingo/Recurrent-Fully-Convolutional-Networks
Reimplement of paper End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks
Vandermode/ELD
Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)
csxmli2016/ASFFNet
Enhanced Blind Face Restoration with Multi-Exemplar Images and Adaptive Spatial Feature Fusion (CVPR 2020)
Maclory/Deep-Iterative-Collaboration
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
vikrant7/mobile-vod-bottleneck-lstm
Implementation of Mobile Video Object Detection with Temporally-Aware Feature Maps using PyTorch
extreme-assistant/CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
z-bingo/kernel-prediction-networks-PyTorch
Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch
guoyongcs/DRN
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Guanghan/ROLO
ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking
wangxiao5791509/ROLO
ROLO is short for Recurrent YOLO, aimed at simultaneous object detection and tracking
Tianxiaomo/pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Zzh-tju/DIoU
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)
ethanhe42/KL-Loss
Bounding Box Regression with Uncertainty for Accurate Object Detection (CVPR'19)
google/automl
Google Brain AutoML
Callidior/keras-applications
Reference implementations of popular deep learning models.
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
yulunzhang/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
timothybrooks/hdr-plus
HDR+ Implementation
JVision/Handheld-Multi-Frame-Super-Resolution
An implementation of the paper Handheld Multi-Frame Super-Resolution
google-research/google-research
Google Research
aiff22/PyNET
Generating RGB photos from RAW image files with PyNET
baidut/BIMEF
Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)