6 citations · 7 across the 4 of their papers we have counts for
4 papers
Lightweight Model Pre-training via Language Guided Knowledge Distillation
Mingsheng Li, Lin Zhang, Mingzhen Zhu +4
This paper studies the problem of pre-training for small models, which is essential for many mobile devices. Current state-of-the-art methods on this problem transfer the represent…
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
Minglei Li, Peng Ye, Yongqi Huang +5
Parameter-efficient fine-tuning (PEFT) has become increasingly important as foundation models continue to grow in both popularity and size. Adapter has been particularly well-recei…
SpVOS: Efficient Video Object Segmentation with Triple Sparse Convolution
Weihao Lin, Tao Chen, Chong Yu
Semi-supervised video object segmentation (Semi-VOS), which requires only annotating the first frame of a video to segment future frames, has received increased attention recently.…
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object Detection
Bo Zhang, Tao Chen, Bin Wang +1
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled dat…