https://github.com/cshaitao/lexrag
공식 코드LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
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.
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
Blind Face Restoration via Deep Multi-scale Component Dictionaries
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Katecheo: A Portable and Modular System for Multi-Topic Question Answering
CLIPstyler: Image Style Transfer with a Single Text Condition
LLAssist: Simple Tools for Automating Literature Review Using Large Language Models
PROPS: Probabilistic personalization of black-box sequence models
Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization
Block Shuffle: A Method for High-resolution Fast Style Transfer with Limited Memory
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Deep learning based domain adaptation for mitochondria segmentation on EM volumes
Vision-based robot manipulation of transparent liquid containers in a laboratory setting
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
KRED: Knowledge-Aware Document Representation for News Recommendations
Non-Parallel Text Style Transfer with Self-Parallel Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.