557 Open source projects that are alternatives of or similar to Owod

CVPR 2021 论文和开源项目合集

CV 论文笔记

Simple and comprehensive tutorials in TensorFlow

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Plug and Play Real-Time Object Detection App with Tensorflow and OpenCV. No Bugs No Worries. Enjoy!

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

An extension of Open3D to address 3D Machine Learning tasks

YOLO Object detection with OpenCV and Python.

People detection and optional tracking with Tensorflow backend.

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Python API for LVIS Dataset

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

Implement YOLOv3 with TensorFlow

JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.

This is a repository for an object detection inference API using the Tensorflow framework.

VDSR (CVPR2016) pytorch implementation

RFCN implementation in TensorFlow

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

Finger Detection and Tracking using OpenCV and Python

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

A PyTorch implementation of the YOLO v3 object detection algorithm

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

A Keras implementation of CenterNet with pre-trained model (unofficial)

[CVPR 2020 VL3] The repository for meta fine-tuning in cross-domain few-shot learning.

Light version of convolutional neural network Yolo v3 & v2 for objects detection with a minimum of dependencies (INT8-inference, BIT1-XNOR-inference)

Pixel Consensus Voting for Panoptic Segmentation (CVPR 2020)

A list of popular deep learning models related to classification, segmentation and detection problems

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )

A General Toolbox for Identifying Object Detection Errors

A single stage object detection toolbox based on PyTorch

YOLO ModelCompression MultidatasetTraining

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation

A Simple and Versatile Framework for Object Detection and Instance Recognition

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Object Detection API Tensorflow

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

Convert between visual object detection datasets

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

Siamese Mask R-CNN model for one-shot instance segmentation

AutoGluon: AutoML for Text, Image, and Tabular Data

C# Yolo Darknet Wrapper (real-time object detection)

[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

an experiment for yolo-v1, including training and testing.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

A simplified implemention of Faster R-CNN that replicate performance from origin paper

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

YOLO for object detection tasks

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

An implementation of RetinaNet in PyTorch.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Neural networks training pipeline based on PyTorch