Prompt Learning
306 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Prompt Learning
Libraries
Use these libraries to find Prompt Learning models and implementationsMost implemented papers
Learning to Prompt for Vision-Language Models
kaiyangzhou/coop
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Large pre-trained vision-language models like CLIP have shown great potential in learning representations that are transferable across a wide range of downstream tasks.
Conditional Prompt Learning for Vision-Language Models
kaiyangzhou/coop
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CVPR 2022
With the rise of powerful pre-trained vision-language models like CLIP, it becomes essential to investigate ways to adapt these models to downstream datasets.
Awesome Multi-modal Object Tracking
983632847/awesome-multimodal-object-tracking
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To leverage more modalities, some recent efforts have been made to learn a unified visual object tracking model for any modality.
MVDream: Multi-view Diffusion for 3D Generation
We introduce MVDream, a diffusion model that is able to generate consistent multi-view images from a given text prompt.
MaPLe: Multi-modal Prompt Learning
muzairkhattak/multimodal-prompt-learning
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CVPR 2023
Pre-trained vision-language (V-L) models such as CLIP have shown excellent generalization ability to downstream tasks.
MotionGPT: Human Motion as a Foreign Language
openmotionlab/motiongpt
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NeurIPS 2023
Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language.
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
It is a crucial task when training data is not accessible due to various concerns, eg, data privacy, yet it is challenging since the models need to generalize to anomalies across different domains where the appearance of foreground objects, abnormal regions, and background features, such as defects/tumors on different products/organs, can vary significantly.
Graph Prompt Learning: A Comprehensive Survey and Beyond
This paper presents a pioneering survey on the emerging domain of graph prompts in AGI, addressing key challenges and opportunities in harnessing graph data for AGI applications.
OpenPrompt: An Open-source Framework for Prompt-learning
thunlp/OpenPrompt
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ACL 2022
Prompt-learning has become a new paradigm in modern natural language processing, which directly adapts pre-trained language models (PLMs) to $cloze$-style prediction, autoregressive modeling, or sequence to sequence generation, resulting in promising performances on various tasks.
PromptDet: Towards Open-vocabulary Detection using Uncurated Images
fcjian/PromptDet
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The goal of this work is to establish a scalable pipeline for expanding an object detector towards novel/unseen categories, using zero manual annotations.
