Text Matching
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Matching a target text to a source text based on their meaning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sosppxo/3d-stmn
공식 코드https://github.com/sunanhe/mkt
공식 코드Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
https://github.com/sunnychencool/AOQ
공식 코드https://github.com/sushantgautam/factgenius
공식 코드https://github.com/talshaharabany/what-is-where-by-looking
공식 코드What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs
https://github.com/threesr/unifine
공식 코드UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
https://github.com/tobran/DF-GAN
공식 코드DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
https://github.com/top34051/colorswap
공식 코드ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
https://github.com/ubc-tea/backdoor_multimodal_foundation_model
공식 코드Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
https://github.com/ukplab/emnlp2020-multicqa
공식 코드MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
https://github.com/v-manhlt3/m-ltm-audio-text-retrieval
공식 코드Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
https://github.com/veason-silverbullet/unitrec
공식 코드https://github.com/vitae-transformer/deepsolo
공식 코드DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
https://github.com/vkhoi/cora_cvpr24
공식 코드Composing Object Relations and Attributes for Image-Text Matching
https://github.com/wayne980/PolyLoss
공식 코드Universal Weighting Metric Learning for Cross-Modal Matching
https://github.com/wzhings/itmafa
공식 코드Enhancing Image-Text Matching with Adaptive Feature Aggregation
https://github.com/xmed-lab/numclip
공식 코드https://github.com/xsc1234/match-prompt
공식 코드https://github.com/xu5zhao/bicro
공식 코드https://github.com/yangliuy/NeuralResponseRanking
공식 코드https://github.com/yanran-tang/promptcase
공식 코드Prompt-based Effective Input Reformulation for Legal Case Retrieval
https://github.com/yoadtew/zero-shot-video-to-text
공식 코드https://github.com/yujielu10/llmscore
공식 코드LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation
https://github.com/yuxie11/R2D2
공식 코드https://github.com/yxuansu/magic
공식 코드Language Models Can See: Plugging Visual Controls in Text Generation
https://github.com/zhjohnchan/sk-vg
공식 코드Advancing Visual Grounding with Scene Knowledge: Benchmark and Method
https://github.com/zhwwwww/attribute-comprehension-of-vlms
공식 코드Evaluating Attribute Comprehension in Large Vision-Language Models
https://github.com/zjukg/structure-clip
공식 코드Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations
https://huggingface.co/Idan0405/ClipMD
공식 코드Increasing Textual Context Size Boosts Medical Image-Text Matching
https://github.com/3d-vista/3D-VisTA
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment
https://github.com/BryanPlummer/cite
Learning Two-Branch Neural Networks for Image-Text Matching Tasks
https://github.com/ChihchengHsieh/AttnGAN_Implementation
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/CryhanFang/CLIP2Video
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
https://github.com/DataTerminatorX/Keyword-BERT
https://github.com/HHousen/TransformerSum
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.