https://github.com/shiyujiao/highlyaccurate
공식 코드Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 19
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/shiyujiao/ibl
공식 코드Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching
https://github.com/shiyunee/when-to-retrieve
공식 코드https://github.com/shizhenchang/dsfer-net
공식 코드https://github.com/shmsw25/factscore
공식 코드FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
https://github.com/shmsw25/single-hop-rc
공식 코드Compositional Questions Do Not Necessitate Multi-hop Reasoning
https://github.com/showlab/VisInContext
공식 코드Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
https://github.com/showlab/all-in-one
공식 코드https://github.com/showlab/demovlp
공식 코드Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
https://github.com/showlab/egovlp
공식 코드https://github.com/showlab/movieseq
공식 코드https://github.com/showlab/univtg
공식 코드https://github.com/showlab/vlog
공식 코드VLog: Video-Language Models by Generative Retrieval of Narration Vocabulary
https://github.com/shreyanc/model_debugging
공식 코드Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
https://github.com/shrubb/latent-pose-reenactment
공식 코드https://github.com/shruti-singh/scilm_exp
공식 코드The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through
https://github.com/shuai-huang/omr-sc
공식 코드Orthogonal Matrix Retrieval with Spatial Consensus for 3D Unknown-View Tomography
https://github.com/shuaichaochao/hybridhash
공식 코드HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
https://github.com/shuaichenchang/prompt-text-to-sql
공식 코드How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
https://github.com/shuailyu/reb
공식 코드REB: Reducing Biases in Representation for Industrial Anomaly Detection
https://github.com/shubhamagarwal92/litllm
공식 코드https://github.com/shubhamkumarnigam/coliee-22
공식 코드https://github.com/shunyuzh/MSM
공식 코드Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
https://github.com/shuohangwang/Cross-Thought
공식 코드https://github.com/shuohangwang/mprc
공식 코드R$^3$: Reinforced Reader-Ranker for Open-Domain Question Answering
https://github.com/shuoli90/traq
공식 코드TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
https://github.com/shushanarakelyan/modular_code_search
공식 코드https://github.com/shuvenduroy/multimodal
공식 코드Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
https://github.com/shuxunoo/nft-net
공식 코드NFT1000: A Cross-Modal Dataset for Non-Fungible Token Retrieval
https://github.com/shuyanzhou/wikihow_hierarchy
공식 코드Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data
https://github.com/siagholami/zero-shot-open-book-qa
공식 코드https://github.com/sib-swiss/sparql-llm
공식 코드LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs
https://github.com/sichunluo/rallrec_plus
공식 코드RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
https://github.com/siddharthl93/design_kgex
공식 코드Retrieval Augmented Generation using Engineering Design Knowledge
https://github.com/siddharthl93/engineering-design-knowledge
공식 코드Retrieval Augmented Generation using Engineering Design Knowledge
https://github.com/sijieaaa/hypliloc
공식 코드HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.