3 papers
cs.CV2024★ 1 cited
LPT++: Efficient Training on Mixture of Long-tailed Experts
Bowen Dong, Pan Zhou, Wangmeng Zuo
We introduce LPT++, a comprehensive framework for long-tailed classification that combines parameter-efficient fine-tuning (PEFT) with a learnable model ensemble. LPT++ enhances fr…
cs.CV2024
Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
Zhilu Zhang, Ruohao Wang, Hongzhi Zhang +1
In this paper, we consider two challenging issues in reference-based super-resolution (RefSR) for smartphone, (i) how to choose a proper reference image, and (ii) how to learn RefS…
cs.CV2017
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
Ruimao Zhang, Liang Lin, Guangrun Wang +2
This paper investigates a fundamental problem of scene understanding: how to parse a scene image into a structured configuration (i.e., a semantic object hierarchy with object inte…