https://github.com/dobbersc/fundus-evaluation
공식 코드Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions
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.
Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions
Exploring Fake News Detection with Heterogeneous Social Media Context Graphs
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
HunSum-1: an Abstractive Summarization Dataset for Hungarian
DpgMedia2019: A Dutch News Dataset for Partisanship Detection
Predicting the Politics of an Image Using Webly Supervised Data
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums
MolGrapher: Graph-based Visual Recognition of Chemical Structures
Improving short text classification through global augmentation methods
Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
Event-based Synthetic Aperture Imaging with a Hybrid Network
Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation
Persian Keyphrase Generation Using Sequence-to-Sequence Models
Misalignment-Robust Frequency Distribution Loss for Image Transformation
Cross-context News Corpus for Protest Events related Knowledge Base Construction
Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional Tagging
DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.