https://github.com/krystalan/sportssum2.0
공식 코드SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
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.
SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
Spatio-Temporal Perception-Distortion Trade-off in Learned Video SR
USB: A Unified Summarization Benchmark Across Tasks and Domains
DVQA: Understanding Data Visualizations via Question Answering
L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi
L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic Languages
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer
Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer
Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Nanopublication-Based Semantic Publishing and Reviewing: A Field Study with Formalization Papers
Generating Biomedical Question Answering Corpora from Q&A forums
MOKA: Moral Knowledge Augmentation for Moral Event Extraction
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
Neural Abstract Style Transfer for Chinese Traditional Painting
Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation
MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding
Deep High-Resolution Representation Learning for Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.