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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

deep-feature-flow

Deep Feature Flow for Video Recognition

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deformable-convnets

Deformable Convolutional Networks + MST + Soft-NMS

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detect-track

Code release for "Detect to Track and Track to Detect", ICCV 2017

detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

gradient-checkpointing

Make huge neural nets fit in memory

head-pose-estimation-and-face-landmark

head pose estimation

indexnet_matting

Indices Matter: Learning to Index for Deep Image Matting

iter-reason

Code for Iterative Reasoning Paper (CVPR 2018)

keras-retinanet

Keras implementation of RetinaNet object detection.

light_head_rcnn

Light-Head R-CNN

mask_r_cnn_keypoints

The original code is from "https://github.com/matterport/Mask_RCNN"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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.github.io

mmdetection

Open MMLab Detection Toolbox

mmdetection-distiller

This is a knowledge distillation toolbox based on mmdetection.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

mmediting

OpenMMLab Image and Video Editing Toolbox

models

Models and examples built with TensorFlow

mxnet-gluon-syncbn

MXNet Gluon Synchronized Batch Normalization Preview