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CATNet: Scene Text Recognition Guided by Concatenating Augmented Text Features
Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition
[CVPR 2021 Oral] Reconstructing 3D Human Pose by Watching Humans in the Mirror
Handwriting-Transformers (ICCV21)
[SIGGRAPH Asia 2021] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning
Pytorch re-implementation of Paper: SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition (CVPR 2022)
The dataset used in the CVPR 2022 paper (SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization).
Scene Text Recognition (STR) methods trained with fewer real labels (CVPR 2021)
Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining
[CVPR 2022] Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Image transformations designed for Scene Text Recognition (STR) data augmentation. Published at ICCV 2021 Workshop on Interactive Labeling and Data Augmentation for Vision.
DeepFaceLab is the leading software for creating deepfakes.
Video2PPT --> Video to (two) PPT | 提取网课视频中的PPT
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
"Enhancing Knowledge Tracing via Adversarial Training", ACM MM 2021 (Oral).
TensorFlow code and pre-trained models for BERT
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A quickstart and benchmark for pytorch distributed training.
This is an official repository of End-to-end Lane Shape Prediction with Transformers.
The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A Pytorch implementation of CVPR 2020 paper: Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Graphical Object Detection in Document Images