GXYM/OHEM-loss

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Language
Python
Created over 5 years ago
Updated over 5 years ago

GXYM/OHEM-loss

GXYM

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tensorflow implementation of OHEM loss and Support the sigmoid or softmax entropy loss

DRRG

Deep relational reasoning graph network for arbitrary shape text detection; Accepted by CVPR 2020 (Oral). http://arxiv.org/abs/2003.07493

TextBPN-Plus-Plus

Arbitrary Shape Text Detection via Boundary Transformer；The paper at: https://arxiv.org/abs/2205.05320, which has been accepted by IEEE Transactions on Multimedia (T-MM 2023).

TextBPN

Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection； Accepted by ICCV2021；The paper at: http://arxiv.org/abs/2107.12664

TextPMs

Arbitrary Shape Text Detection via Segmentation with Probability Maps; accepted by TPAMI2022

GHM_Loss

The tensorflow implementation of GHM loss include class loss and regression loss. GHM loss is peoposed in "Gradient Harmonized Single-stage Detector" published on AAAI 2019 (Oral).

GloRe

Tensorflow implementation of Global Reasoning unit (GloRe) from Graph-Based Global Reasoning Networks. GCN Network Blok

Focal-loss

The code is tensorflow implement for focal loss for Dense Object Detection. https://arxiv.org/abs/1708.02002

AnalysisEEG

2020年研究生数学建模竞赛C题-脑电波分析（代码及数据）

TaggingTool

An annotation tool for target detection and text detection, which supports both image and video media files and only supports Windows system environment. labelMe, Tagging, Annotation.

STGT

Video-Language Alignment via Spatio–Temporal Graph Transformer; ArXiv: https://arxiv.org/abs/2407.11677

TextFormat_To_cocoJson

converting detection txt format for COCO json format

GXYM.github.io

python-Interface-Cpp

Interface　python code by C++ , support python3