https://github.com/shafieabdi/somalilemmatizer
공식 코드Lexicon and Rule-based Word Lemmatization Approach for the Somali Language
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.
Lexicon and Rule-based Word Lemmatization Approach for the Somali Language
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors
Top K Relevant Passage Retrieval for Biomedical Question Answering
AlignMixup: Improving Representations By Interpolating Aligned Features
MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset
Educating Text Autoencoders: Latent Representation Guidance via Denoising
Sliding Window Recurrent Network for Efficient Video Super-Resolution
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
FFN: a Fine-grained Chinese-English Financial Domain Parallel Corpus
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
Statement networks: a power structure narrative as depicted by newspapers
Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring
PhotoDoodle: Learning Artistic Image Editing from Few-Shot Pairwise Data
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.