Y. Lyu

collaborators

3 papers

cs.CV2026

Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning

Haichen Zhou, Yazhe Lyu, Yixiong Zou +2

Few-shot class-incremental learning (FSCIL) aims to incrementally learn novel classes with only a few samples while avoiding forgetting base classes. However, current methods show…

hep-ex2026

Observation of the Exotic State $π_{1} (1600)$ in $ψ (2 S) \to γ χ_{c 1}, χ_{c 1} \to π^{+} π^{-} η^{'}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +750

A partial wave analysis of the process $ψ (2 S) \to γ χ_{c 1}, χ_{c 1} \to π^{+} π^{-} η^{'}$ is performed using $(2712.4 \pm 14.3) \times 1 0^{6}$ $ψ (2 S)$ events collected with t…

cs.CV2026

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

Xingyu Qiu, Yuqian Fu, Jiawei Geng +70

Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…

Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning

Observation of the Exotic State π1​(1600) in ψ(2S)→γχc1​,χc1​→π+π−η′

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

Observation of the Exotic State $π_{1} (1600)$ in $ψ (2 S) \to γ χ_{c 1}, χ_{c 1} \to π^{+} π^{-} η^{'}$