3 papers
cs.LG2025
ASRL:A robust loss function with potential for development
Chenyu Hui, Anran Zhang, Xintong Li
In this article, we proposed a partition:wise robust loss function based on the previous robust loss function. The characteristics of this loss function are that it achieves high r…
cs.CV2025
Beyond Intermediate States: Explaining Visual Redundancy through Language
Dingchen Yang, Bowen Cao, Anran Zhang +3
Multi-modal Large Langue Models (MLLMs) often process thousands of visual tokens, which consume a significant portion of the context window and impose a substantial computational b…
cs.CV2024
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution
Tianyi Xu, Yiji Zhou, Xiaotao Hu +4
Arbitrary-scale super-resolution (ASSR) aims to learn a single model for image super-resolution at arbitrary magnifying scales. Existing ASSR networks typically comprise an off-the…