25 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
Taihong Xiao, Zirui Wang, Liangliang Cao +3
Vision-language foundation models pretrained on large-scale data provide a powerful tool for many visual understanding tasks. Notably, many vision-language models build two encoder…
cs.CV2019★ 25 cited
RC-DARTS: Resource Constrained Differentiable Architecture Search
Xiaojie Jin, Jiang Wang, Joshua Slocum +4
Recent advances show that Neural Architectural Search (NAS) method is able to find state-of-the-art image classification deep architectures. In this paper, we consider the one-shot…
cs.CV2018★ 7 cited
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
JIyang Gao, Jiang Wang, Shengyang Dai +2
The labeling cost of large number of bounding boxes is one of the main challenges for training modern object detectors. To reduce the dependence on expensive bounding box annotatio…