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Text Retrieval

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평가표: 16
보존된 평가 기록: 51

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://git.tu-berlin.de/rsim/chnr

공식 코드

An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing

https://github.com/360cvgroup/fg-clip

공식 코드

FG-CLIP: Fine-Grained Visual and Textual Alignment

https://github.com/4m4n5/CLIP-Lite

공식 코드

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision

https://github.com/Alibaba-NLP/HLATR

공식 코드

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace

공식 코드

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

https://github.com/ArminS03/CAREL

공식 코드

CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives

https://github.com/ArrowLuo/CLIP4Clip

공식 코드

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

https://github.com/BruceW91/CVSE

공식 코드

Consensus-Aware Visual-Semantic Embedding for Image-Text Matching

https://github.com/CharizardAcademy/modoc

공식 코드

MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions

https://github.com/ChenRocks/UNITER

공식 코드

UNITER: UNiversal Image-TExt Representation Learning

https://github.com/CryhanFang/CLIP2Video

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CLIP2Video: Mastering Video-Text Retrieval via Image CLIP

https://github.com/DannielSilva/RS-M-CLIP

공식 코드

Multilingual Vision-Language Pre-training for the Remote Sensing Domain

https://github.com/FangyunWei/SLRT

공식 코드

CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning

https://github.com/GeondoPark/MHSAN

공식 코드

MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding

https://github.com/HuiChen24/IMRAM

공식 코드

IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

https://github.com/IBM/ColBERT-practical

공식 코드

Fast and Light-Weight Answer Text Retrieval in Dialogue Systems

https://github.com/J22Melody/fairseq

공식 코드

SignCLIP: Connecting Text and Sign Language by Contrastive Learning

https://github.com/JingfenQiao/ColPali-Reproducibility

공식 코드

Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction

https://github.com/LiqunChen0606/Graph-Optimal-Transport

공식 코드

Graph Optimal Transport for Cross-Domain Alignment

https://github.com/OFA-Sys/ONE-PEACE

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ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

https://github.com/Paranioar/UniPT

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UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory

https://github.com/QuIIL/TQx

공식 코드

Towards a text-based quantitative and explainable histopathology image analysis

https://github.com/RUCAIBox/DenseRetrieval

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Dense Text Retrieval based on Pretrained Language Models: A Survey

https://github.com/RitaRamo/retrieval-augmentation-nn

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Retrieval Augmentation for Deep Neural Networks

https://github.com/Roc-Ng/HANet

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HANet: Hierarchical Alignment Networks for Video-Text Retrieval

https://github.com/RotsteinNoam/FuseCap

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FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

https://github.com/UKPLab/beir

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BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

https://github.com/WangYuxuan93/CVLUE

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CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation

https://github.com/WeixiongLin/PMC-CLIP

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PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents

https://github.com/WenzhengZhang/hard-nce-el

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Understanding Hard Negatives in Noise Contrastive Estimation

https://github.com/XinhaoMei/audio-text_retrieval

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On Metric Learning for Audio-Text Cross-Modal Retrieval

https://github.com/YIKUAN8/Transformers-VQA

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A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

https://github.com/ZhanYang-nwpu/PE-RSITR

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Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval

https://github.com/Zoky-2020/Set-level_Guidance_Attack

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Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models

https://github.com/aaa-zheng/listwise_itr

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Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval

https://github.com/acharkq/molca

공식 코드

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter

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