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few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Point Segment and Count: A Generalized Framework for Object Counting CVPR 2024
Emu Edit: Precise Image Editing via Recognition and Generation Tasks CVPR 2024
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning CVPR 2024
MMA: Multi-Modal Adapter for Vision-Language Models CVPR 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation CVPR 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024
Generative Multi-modal Models are Good Class Incremental Learners CVPR 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024
Domain Gap Embeddings for Generative Dataset Augmentation CVPR 2024
Dense Vision Transformer Compression with Few Samples CVPR 2024
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning CVPR 2024
Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024
Prompting Vision Foundation Models for Pathology Image Analysis CVPR 2024
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency CVPR 2024
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation CVPR 2024
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning CVPR 2024
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer CVPR 2024
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence CVPR 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition CVPR 2024
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding CVPR 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces CVPR 2024
Limits of Transformer Language Models on Learning to Compose Algorithms NIPS 2024