Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
Progressively Exploring and Exploiting Inference Data to Break Fine-Grained Classification Barrier
Li-Jun Zhao, Si-Yuan Zhang, Zhen-Duo Chen +2
Current fine-grained classification research primarily focuses on fine-grained feature learning. However, in real-world scenarios, fine-grained data annotation is challenging, and…
cs.CV2024
Bias Mitigating Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Zi-Chao Zhang +2
Few-shot class-incremental learning (FSCIL) aims at recognizing novel classes continually with limited novel class samples. A mainstream baseline for FSCIL is first to train the wh…