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
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
(CVPR 2021 Oral) Open World Object Detection
[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation
EntitySeg Toolbox: Towards Open-World and High-Quality Image 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
A PyTorch implementation of PointRend: Image Segmentation as Rendering
[CVPR 2022] MPViT:Multi-Path Vision Transformer for Dense Prediction
A PyTorch reimplementation of bottom-up-attention models
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
Instance segmentation for anime characters based on CondInst and SOLOv2
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