97 citations · 350 across the 22 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 20 cited
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Peng Xu, Wenqi Shao, Kaipeng Zhang +7
Large Vision-Language Models (LVLMs) have recently played a dominant role in multimodal vision-language learning. Despite the great success, it lacks a holistic evaluation of their…
cs.CV2023★ 2 cited
Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
Peng Xu, Zhiyu Xiang, Chenyu Qiao +2
Despite the great success of deep learning in stereo matching, recovering accurate disparity maps is still challenging. Currently, L1 and cross-entropy are the two most widely used…
cs.CV2023★ 97 cited
SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything
Ge-Peng Ji, Deng-Ping Fan, Peng Xu +3
Segmenting anything is a ground-breaking step toward artificial general intelligence, and the Segment Anything Model (SAM) greatly fosters the foundation models for computer vision…