Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yr666666/msa
공식 코드Transcending Fusion: A Multi-Scale Alignment Method for Remote Sensing Image-Text Retrieval
https://github.com/yrcong/learning_similarity_between_graphs_images
공식 코드SPAN: Learning Similarity between Scene Graphs and Images with Transformers
https://github.com/ytaek-oh/vl_compo
공식 코드Exploring the Spectrum of Visio-Linguistic Compositionality and Recognition
https://github.com/ytongxie/medical-vision-and-language-tasks-and-methodologies-a-survey
공식 코드A Survey of Medical Vision-and-Language Applications and Their Techniques
https://github.com/yuan-li-fnlp/r3-rag
공식 코드R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
https://github.com/yuanc3/dmon-aro
공식 코드Neighbor-Based Feature and Index Enhancement for Person Re-Identification
https://github.com/yuangongnd/cav-mae
공식 코드https://github.com/yuanjianhao508/notjustprettypictures
공식 코드Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
https://github.com/yuanli2333/Hadamard-Matrix-for-hashing
공식 코드Central Similarity Quantization for Efficient Image and Video Retrieval
https://github.com/yuanyao366/PRP
공식 코드Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
https://github.com/yuanyuan98/uniflow
공식 코드UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
https://github.com/yudongyao/autophasenn
공식 코드https://github.com/yueqicao/Topological_Retrieval
공식 코드Topological Information Retrieval with Dilation-Invariant Bottleneck Comparative Measures
https://github.com/yueyang1996/z-lavi
공식 코드Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
https://github.com/yueyu1030/ReGen
공식 코드ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
https://github.com/yuh-zha/alignscore
공식 코드AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
https://github.com/yuhan1i/g-refer
공식 코드G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
https://github.com/yuhaozhang/convirt
공식 코드Contrastive Learning of Medical Visual Representations from Paired Images and Text
https://github.com/yuhongqian/ance-prf
공식 코드Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback
https://github.com/yuhongqian/pgt
공식 코드PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer
https://github.com/yujiaoshi/g2sweakly
공식 코드Weakly-supervised Camera Localization by Ground-to-satellite Image Registration
https://github.com/yukang-lin/rger
공식 코드Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning
https://github.com/yukinowan/gpt-re
공식 코드GPT-RE: In-context Learning for Relation Extraction using Large Language Models
https://github.com/yukistavailable/FontCLIP
공식 코드FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
https://github.com/yuleung/mixbct
공식 코드https://github.com/yulu0724/EmbeddingDistillation
공식 코드Learning Metrics from Teachers: Compact Networks for Image Embedding
https://github.com/yunahjang/itercqr
공식 코드IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance
https://github.com/yunhaoli1995/MAMD-TOD
공식 코드Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory
https://github.com/yunjiaxi/laser
공식 코드https://github.com/yunjinli/vxp
공식 코드VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
https://github.com/yunqizhang99/kadabrasim
공식 코드https://github.com/yunx-z/combo
공식 코드Merging Generated and Retrieved Knowledge for Open-Domain QA
https://github.com/yunxinli/ndcr
공식 코드A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
https://github.com/yuqi657/ts2_net
공식 코드TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
https://github.com/yurifacanha/llmquoter
공식 코드LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.