A Unified Toolkit for Deep Learning Based Document Image Analysis
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Updated
Aug 15, 2024 - Python
A Unified Toolkit for Deep Learning Based Document Image Analysis
(CVPR 2021 Oral) Open World Object Detection
[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation
[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
This repo is implemented based on detectron2 and centernet
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
[CVPR 2020] VoVNet backbone networks for detectron2
[CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
Deploy Computer Vision solutions with a few lines of code.
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
[ECCV 2020] Boundary-preserving Mask R-CNN
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
Detectron2 for Document Layout Analysis
Instance Shadow Detection (CVPR 2020)
Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.
Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val
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