Poster "few-shot classification" Papers
10 papers found
Conference
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
Yanghao Wang, Long Chen
CVPR 2025arXiv:2408.16266
7
citations
ProbMED: A Probabilistic Framework for Medical Multimodal Binding
Yuan Gao, Sangwook Kim, Jianzhong You et al.
ICCV 2025arXiv:2509.25711
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
Zhengbo Wang, Jian Liang, Ran He et al.
ICML 2024arXiv:2402.04050
Effective Data Augmentation With Diffusion Models
Brandon Trabucco, Kyle Doherty, Max Gurinas et al.
ICLR 2024arXiv:2302.07944
356
citations
Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer
Le Yu, Xinde Li, Pengfei Zhang et al.
ICML 2024
GalLop: Learning global and local prompts for vision-language models
Marc Lafon, Elias Ramzi, Clément Rambour et al.
ECCV 2024arXiv:2407.01400
39
citations
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
ICML 2024arXiv:2407.17486
7
citations
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng, Chiao-An Yang, Raymond Yeh
ECCV 2024arXiv:2409.19210
4
citations
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
Bor Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu
CVPR 2024arXiv:2404.08968
16
citations
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam, Simon Korman
ICML 2024arXiv:2407.01467
4
citations