https://github.com/JonnoB/training_lms_with_synthetic_data
공식 코드Scrambled text: training Language Models to correct OCR errors using synthetic data
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
What is Human Pose Estimation? Human pose estimation is the process of estimating the configuration of the body (pose) from a single, typically monocular, image. Background. Human pose estimation is one of the key problems in computer vision that has been studied for well over 15 years. The reason for its importance is the abundance of applications that can benefit from such a technology. For example, human pose estimation allows for higher-level reasoning in the context of human-computer interaction and activity recognition; it is also one of the basic building blocks for marker-less motion capture (MoCap) technology. MoCap technology is useful for applications ranging from character animation to clinical analysis of gait pathologies.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Scrambled text: training Language Models to correct OCR errors using synthetic data
Controllable Style Transfer via Test-time Training of Implicit Neural Representation
MixStyle Neural Networks for Domain Generalization and Adaptation
MixStyle Neural Networks for Domain Generalization and Adaptation
StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
Leveraging Multilingual News Websites for Building a Kurdish Parallel Corpus
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter
COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability
Deep Video Super-Resolution using HR Optical Flow Estimation
Learning for Video Super-Resolution through HR Optical Flow Estimation
Generating abstractive summaries of Lithuanian news articles using a transformer model
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations
NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
Improving Quality of a Post's Set of Answers in Stack Overflow
Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physics
Controlling Geometric Abstraction and Texture for Artistic Images
Interactive Control over Temporal Consistency while Stylizing Video Streams
Deep High-Resolution Representation Learning for Human Pose Estimation
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data
Predicting Subjective Features of Questions of QA Websites using BERT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.