https://github.com/multimodal-interpretability/nnn
공식 코드Nearest Neighbor Normalization Improves Multimodal Retrieval
Papers with Code 아카이브
Text Retrieval
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Text Retrieval is the task of finding the most text result (such as an answer, paragraph, or passage) given a query (which could be a question, keywords, or any relevant text)
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/musicman217/Text-Proxy
공식 코드https://github.com/mzhaoshuai/rlcf
공식 코드Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
https://github.com/ncoop57/tango
공식 코드https://github.com/nec-n-sogi/query-perturbation
공식 코드Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval
https://github.com/nju-websoft/mmrag
공식 코드https://github.com/nshubham655/RUDDER
공식 코드https://github.com/nzjin/odtqa
공식 코드Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval
https://github.com/oaqa/FlexNeuART
공식 코드https://github.com/om-ai-lab/rs5m
공식 코드https://github.com/omron-sinicx/com_kitchens
공식 코드COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark
https://github.com/opengvlab/all-seeing
공식 코드The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World
https://github.com/opengvlab/internvideo
공식 코드Harvest Video Foundation Models via Efficient Post-Pretraining
https://github.com/opengvlab/internvl
공식 코드InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
https://github.com/openmatch/coco-dr
공식 코드https://github.com/openmatch/marvel
공식 코드MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin
https://github.com/openmatch/univl-dr
공식 코드https://github.com/orionw/followir
공식 코드FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
https://github.com/paddlepaddle/rocketqa
공식 코드Dense Text Retrieval based on Pretrained Language Models: A Survey
https://github.com/paranioar/gssf
공식 코드GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning
https://github.com/parry-parry/adversarialcontext
공식 코드Exploiting Positional Bias for Query-Agnostic Generative Content in Search
https://github.com/passing2961/dialogcc
공식 코드DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset
https://github.com/perceptualai-lab/goal
공식 코드https://github.com/pku-yuangroup/languagebind
공식 코드https://github.com/princetonvisualai/multimodal_dataset_distillation
공식 코드https://github.com/qtacierp/prior
공식 코드PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
https://github.com/qyr0403/reversed-in-time
공식 코드Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text Retrieval
https://github.com/reneeye/const
공식 코드https://github.com/rerv/uniadapter
공식 코드UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
https://github.com/researchmm/soho
공식 코드Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
https://github.com/riedlerm/multimodal_rag_for_industry
공식 코드Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applications
https://github.com/ryanwangzf/medclip
공식 코드MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
https://github.com/sageselab/ui-bug-localization-study
공식 코드On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization
https://github.com/salesforce/augtriever
공식 코드AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
https://github.com/salesforce/lavis
공식 코드Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/sdc17/crossget
공식 코드CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.