Pinned Repositories
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
affordance-net
AffordanceNet - Multiclass Instance Segmentation Framework
centerNet-deep-sort
realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
COCO17-PDFs
COCO17-presentations
DAEC
Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation.
DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
gradient-checkpointing
Make huge neural nets fit in memory
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
models
Models and examples built with TensorFlow
PhotographicImageSynthesis
Photographic Image Synthesis with Cascaded Refinement Networks
miracle-fmh's Repositories
miracle-fmh/3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
miracle-fmh/centerNet-deep-sort
realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
miracle-fmh/DAEC
Train Your Data Processor: Distribution-Aware and Error-Compensation Coordinate Decoding for Human Pose Estimation.
miracle-fmh/DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
miracle-fmh/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
miracle-fmh/DensePose
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
miracle-fmh/DetectAndTrack
The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"
miracle-fmh/DEXTR-PyTorch
Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr
miracle-fmh/indexnet_matting
Indices Matter: Learning to Index for Deep Image Matting
miracle-fmh/MGMatting
This repository includes the official project of Mask Guided (MG) Matting, presented in our paper: Mask Guided Matting via Progressive Refinement Network
miracle-fmh/miracle-fmh.github.io
miracle-fmh/mmdetection
Open MMLab Detection Toolbox
miracle-fmh/mmdetection-distiller
This is a knowledge distillation toolbox based on mmdetection.
miracle-fmh/mmediting
OpenMMLab Image and Video Editing Toolbox
miracle-fmh/PPDM
Code for "PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection".
miracle-fmh/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
miracle-fmh/PSANet
PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.
miracle-fmh/pwc
Papers with code. Sorted by stars. Updated weekly.
miracle-fmh/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
miracle-fmh/res2net-on-mxnet
miracle-fmh/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
miracle-fmh/SKNet
Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223
miracle-fmh/SPM_Pytorch
A pytorch implementation about ICCV2019 paper "Single-Stage Multi-Person Pose Machines" (SPM)
miracle-fmh/Tencent2020_Rank1st
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
miracle-fmh/TransferSeg
Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
miracle-fmh/TSD
1st place models in Google OpenImage Detection Challenge 2019
miracle-fmh/UniDet
Object detection on multiple datasets with an automatically learned unified label space.
miracle-fmh/VisTR
[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers
miracle-fmh/White-box-Cartoonization
Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
miracle-fmh/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS