https://github.com/aitical/cplir
공식 코드Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
Papers with Code 아카이브
Prompt Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alexadlu/modality-missing-rgbt-tracking
공식 코드Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks
https://github.com/alibaba/EasyNLP
공식 코드Towards Unified Prompt Tuning for Few-shot Text Classification
https://github.com/alirezasalehy/crane
공식 코드Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections
https://github.com/angknpng/unisod
공식 코드Unified-modal Salient Object Detection via Adaptive Prompt Learning
https://github.com/ans92/tlac
공식 코드TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
https://github.com/anwarmaxsum/pip
공식 코드PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
https://github.com/apple/ml-ogen
공식 코드Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
https://github.com/asif-hanif/baple
공식 코드BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning
https://github.com/astrazeneca/mcpl
공식 코드https://github.com/aswahd/sam2radiology
공식 코드Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
https://github.com/aswahd/samradiology
공식 코드Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
https://github.com/atenanaz/chatgpt-healthprompt
공식 코드https://github.com/atmlr-lab/cot
공식 코드Consistent Optimal Transport with Empirical Conditional Measures
https://github.com/atsumiyai/locoop
공식 코드LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
https://github.com/auniquesun/point-prc
공식 코드Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
https://github.com/auniquesun/ppt
공식 코드Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
https://github.com/baishuanghao/prompt-based-distribution-alignment
공식 코드Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
https://github.com/beepkh/supmer
공식 코드Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
https://github.com/biaobiao12138/mscrs-main
공식 코드MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
https://github.com/binwanggzhu/svll-reid
공식 코드Image Re-Identification: Where Self-supervision Meets Vision-Language Learning
https://github.com/caoql98/GDPL
공식 코드Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Research
https://github.com/caoql98/dcpl
공식 코드https://github.com/caoyichao/unihoi
공식 코드https://github.com/cathyshyr/rare_disease_phenotype_extraction
공식 코드Identifying and Extracting Rare Disease Phenotypes with Large Language Models
https://github.com/changhuisu/tlp
공식 코드Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning
https://github.com/chelsea234/m2f2_det
공식 코드Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
https://github.com/chelsielei/ez-hoi
공식 코드EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection
https://github.com/chengyinlee/autoprosam_2024
공식 코드AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation
https://github.com/chenhaoxing/cpr
공식 코드https://github.com/chenxin-dlut/seqtrackv2
공식 코드https://github.com/chingheng0808/PromptHSI
공식 코드https://github.com/chongqingnosubway/prompt-ot
공식 코드https://github.com/chunliu-cs/llmembed-acl2024
공식 코드LLMEmbed: Rethinking Lightweight LLM's Genuine Function in Text Classification
https://github.com/cmrxrecon/cmrxrecon2024
공식 코드https://github.com/cvl-hub/kag-prompt
공식 코드Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.