Pengfei Fang

papers

387

total citations

papers (12)

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning

AAAI 2025arXiv

citations

CosNet: A Generalized Spectral Kernel Network

NEURIPS 2023

citations

Kernel Methods in Hyperbolic Spaces

ICCV 2021

citations

Copula-Nested Spectral Kernel Network

ICML 2024

citations

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning

AAAI 2025arXiv

citations

Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces

ICCV 2021

citations

Pengfei Fang

papers (12)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning

Reinforced Attention for Few-Shot Learning and Beyond

Blind Image Decomposition

Hyperbolic Audio-visual Zero-shot Learning

Text Image Inpainting via Global Structure-Guided Diffusion Models

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning

CosNet: A Generalized Spectral Kernel Network

Kernel Methods in Hyperbolic Spaces

Copula-Nested Spectral Kernel Network

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning

Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces

papers (12)

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning

Reinforced Attention for Few-Shot Learning and Beyond

Blind Image Decomposition

Hyperbolic Audio-visual Zero-shot Learning

Text Image Inpainting via Global Structure-Guided Diffusion Models

Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning

CosNet: A Generalized Spectral Kernel Network

Kernel Methods in Hyperbolic Spaces

Copula-Nested Spectral Kernel Network

PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning

Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces