The Official PyTorch Implementation of DiscoBox.

Related tags

Deep Learningweakly-supervised-learninginstance-segmentationsemantic-correspondence
Overview

NVIDIA Source Code License Python 3.8

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

Paper | Project page | Demo (Youtube) | Demo (Bilibili)

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.
Shiyi Lan, Zhiding Yu, Chris Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry Davis, Anima Anandkumar
International Conference on Computer Vision (ICCV) 2021

This repository contains the official Pytorch implementation of training & evaluation code and pretrained models for DiscoBox. DiscoBox is a state of the art framework that can jointly predict high quality instance segmentation and semantic correspondence from box annotations.

We use MMDetection v2.10.0 as the codebase.

All of our models are trained and tested using automatic mixed precision, which leverages float16 for speedup and less GPU memory consumption.

Installation

This implementation is based on PyTorch==1.9.0, mmcv==2.13.0, and mmdetection==2.10.0

Please refer to get_started.md for installation.

Or you can download the docker image from our dockerhub repository.

Models

Results on COCO val 2017

Backbone Weights AP [email protected] [email protected] [email protected] [email protected] [email protected]
ResNet-50 download 30.7 52.6 30.6 13.3 34.1 45.6
ResNet-101-DCN download 35.3 59.1 35.4 16.9 39.2 53.0
ResNeXt-101-DCN download 37.3 60.4 39.1 17.8 41.1 55.4

Results on COCO test-dev

We also evaluate the models in the section Results on COCO val 2017 with the same weights on COCO test-dev.

Backbone Weights AP [email protected] [email protected] [email protected] [email protected] [email protected]
ResNet-50 download 32.0 53.6 32.6 11.7 33.7 48.4
ResNet-101-DCN download 35.8 59.8 36.4 16.9 38.7 52.1
ResNeXt-101-DCN download 37.9 61.4 40.0 18.0 41.1 53.9

Training

COCO

ResNet-50 (8 GPUs):

bash tools/dist_train.sh \
     configs/discobox/discobox_solov2_r50_fpn_3x.py 8

ResNet-101-DCN (8 GPUs):

bash tools/dist_train.sh \
     configs/discobox/discobox_solov2_r101_dcn_fpn_3x.py 8

ResNeXt-101-DCN (8 GPUs):

bash tools/dist_train.sh \
     configs/discobox/discobox_solov2_x101_dcn_fpn_3x.py 8

Pascal VOC 2012

ResNet-50 (4 GPUs):

bash tools/dist_train.sh \
     configs/discobox/discobox_solov2_voc_r50_fpn_6x.py 4

ResNet-101 (4 GPUs):

bash tools/dist_train.sh \
     configs/discobox/discobox_solov2_voc_r101_fpn_6x.py 4

Testing

COCO

ResNet-50 (8 GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_r50_fpn_3x.py \
     work_dirs/coco_r50_fpn_3x.pth 8 --eval segm

ResNet-101-DCN (8 GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_r101_dcn_fpn_3x.py \
     work_dirs/coco_r101_dcn_fpn_3x.pth 8 --eval segm

ResNeXt-101-DCN (GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_x101_dcn_fpn_3x_fp16.py \
     work_dirs/coco_x101_dcn_fpn_3x.pth 8 --eval segm

Pascal VOC 2012 (COCO API)

ResNet-50 (4 GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_voc_r50_fpn_3x_fp16.py \
     work_dirs/voc_r50_6x.pth 4 --eval segm

ResNet-101 (4 GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_voc_r101_fpn_3x_fp16.py \
     work_dirs/voc_r101_6x.pth 4 --eval segm

Pascal VOC 2012 (Matlab)

Step 1: generate results

ResNet-50 (4 GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_voc_r50_fpn_3x_fp16.py \
     work_dirs/voc_r50_6x.pth 4 \
     --format-only \
     --options "jsonfile_prefix=work_dirs/voc_r50_results.json"

ResNet-101 (4 GPUs):

bash tools/dist_test.sh \
     configs/discobox/discobox_solov2_voc_r101_fpn_3x_fp16.py \
     work_dirs/voc_r101_6x.pth 4 \
     --format-only \
     --options "jsonfile_prefix=work_dirs/voc_r101_results.json"

Step 2: format conversion

ResNet-50:

python tools/json2mat.pywork_dirs/voc_r50_results.json work_dirs/voc_r50_results.mat

ResNet-101:

python tools/json2mat.pywork_dirs/voc_r101_results.json work_dirs/voc_r101_results.mat

Step 3: evaluation

Please visit BBTP for the evaluation code written in Matlab.

PF-Pascal

Please visit this repository.

LICENSE

Please check the LICENSE file. DiscoBox may be used non-commercially, meaning for research or evaluation purposes only. For business inquiries, please contact [email protected].

Citation

@article{lan2021discobox,
  title={DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision},
  author={Lan, Shiyi and Yu, Zhiding and Choy, Christopher and Radhakrishnan, Subhashree and Liu, Guilin and Zhu, Yuke and Davis, Larry S and Anandkumar, Anima},
  journal={arXiv preprint arXiv:2105.06464},
  year={2021}
}
Owner
NVIDIA Research Projects
NVIDIA Research Projects
GitHub Repository https://arxiv.org/abs/2105.06464
2D&3D human pose estimation

Human Pose Estimation Papers [CVPR 2016] - 201511 [IJCAI 2016] - 201602 Other Action Recognition with Joints-Pooled 3D Deep Convolutional Descriptors

133 Jan 02, 2023
Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting (HMNet)

Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting (HMNet) Our paper: https://arxiv.org/abs/2111.13324 We will release the complet

15 Oct 17, 2022
This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"

Occupancy Flow This repository contains the code for the project Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics. You can find detail

189 Dec 29, 2022
A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required.

Fluke289_data_access A series of Python scripts to access measurements from Fluke 28X meters. Fluke IR Remote Interface required. Created from informa

3 Dec 08, 2022
Fast and simple implementation of RL algorithms, designed to run fully on GPU.

RSL RL Fast and simple implementation of RL algorithms, designed to run fully on GPU. This code is an evolution of rl-pytorch provided with NVIDIA's I

Robotic Systems Lab - Legged Robotics at ETH Zürich 68 Dec 29, 2022
Solving SMPL/MANO parameters from keypoint coordinates.

Minimal-IK A simple and naive inverse kinematics solver for MANO hand model, SMPL body model, and SMPL-H body+hand model. Briefly, given joint coordin

Yuxiao Zhou 305 Dec 30, 2022
The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm

Quantum Qubit Rotation Algorithm Single qubit rotation gates $$ U(\Theta)=\bigotimes_{i=1}^n R_x (\phi_i) $$ QQRA for the max-cut problem This code wa

SheffieldWang 0 Oct 18, 2021
Mini Software that give reminder to drink water as per your weight.

Water Notification Desktop Python The Mini Software built in Python (tkinter) that will remind you to drink water on specific time span based on your

Om Jogani 5 Dec 16, 2022
Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch

Retrieval-Augmented Denoising Diffusion Probabilistic Models (wip) Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in P

Phil Wang 55 Jan 01, 2023
Code to reproduce the experiments from our NeurIPS 2021 paper " The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective"

Code To run: python runner.py new --save SAVE_NAME --data PATH_TO_DATA_DIR --dataset DATASET --model model_name [options] --n 1000 - train - t

Geoff Pleiss 5 Dec 12, 2022
Blender scripts for computing geodesic distance

GeoDoodle Geodesic distance computation for Blender meshes Table of Contents Overivew Usage Implementation Overview This addon provides an operator fo

20 Jun 08, 2022
Easy way to add GoogleMaps to Flask applications. maintainer: @getcake

Flask Google Maps Easy to use Google Maps in your Flask application requires Jinja Flask A google api key get here Contribute To contribute with the p

Flask Extensions 611 Dec 05, 2022
A simple interface for editing natural photos with generative neural networks.

Neural Photo Editor A simple interface for editing natural photos with generative neural networks. This repository contains code for the paper "Neural

Andy Brock 2.1k Dec 29, 2022
Automatic number plate recognition using tech: Yolo, OCR, Scene text detection, scene text recognation, flask, torch

Automatic Number Plate Recognition Automatic Number Plate Recognition (ANPR) is the process of reading the characters on the plate with various optica

Meftun AKARSU 52 Dec 22, 2022
Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

Johannes von Lindheim 3 Oct 29, 2022
Classification of ecg datas for disease detection

ecg_classification Classification of ecg datas for disease detection

Atacan ÖZKAN 5 Sep 09, 2022
Source Code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching

Description The source code and data for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chin

Zhengxiang Wang 3 Jun 28, 2022
A simple pytorch pipeline for semantic segmentation.

SegmentationPipeline -- Pytorch A simple pytorch pipeline for semantic segmentation. Requirements : torch=1.9.0 tqdm albumentations=1.0.3 opencv-pyt

petite7 4 Feb 22, 2022
An implementation for `Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction`

Text2Event An implementation for Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction Please contact Yaojie Lu (@

Roger 153 Jan 07, 2023
Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"

dblmahmc Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo" Requirements: https://github.com

1 Dec 17, 2021