110 Open source projects that are alternatives of or similar to QueryInst

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

SOLOv2 pytorch (without mmdetection and mmcv)

Side projects and hands-on work

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

How to create custom COCO data set for instance segmentation

VoVNet backbone networks for detectron2, in CVPR 2020

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

Real time instance segmentation with Mask R-CNN, live from webcam feed.

Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch

Unofficial implementation of MaX-DeepLab for Instance Segmentation

No description or website provided.

Implementation of ECCV20 paper: the devil is in classification: a simple framework for long-tail object detection and instance segmentation

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Cell Detection with PyTorch.

Instance segmentation for anime characters based on CondInst and SOLOv2

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)

Paper notes in deep learning/machine learning and computer vision

Tensorflow 2.x implementation YOLACT

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

The Official PyTorch Implementation of DiscoBox.

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Flood-Filling Networks for instance segmentation in 3d volumes.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

D2Det: Towards High Quality Object Detection and Instance Segmentation (CVPR2020)

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

OpenMMLab Detection Toolbox and Benchmark

Train a Mask R-CNN model with the Tensorflow Object Detection API

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Cut and paste augmentation for object detection and instance segmentation

PyTorch re-implementation of DeepMask

SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

Streamlit tool to explore coco datasets

SOLO: Segmenting Objects by Locations

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

PyTorch implementation of "Pyramid Scene Parsing Network".

How to train an instance segmentation model with mmdetection

Repository for the paper "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues"

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

[This project has moved to ChainerCV] Chainer Implementation of Fully Convolutional Instance-aware Semantic Segmentation