6 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +2
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality of a single image, whose performance has been improved by deep learning-based methods in…
ContrastMask: Contrastive Learning to Segment Every Thing
Xuehui Wang, Kai Zhao, Ruixin Zhang +3
Partially-supervised instance segmentation is a task which requests segmenting objects from novel unseen categories via learning on limited seen categories with annotated masks thu…
Dependency Aware Filter Pruning
Kai Zhao, Xin-Yu Zhang, Qi Han +1
Convolutional neural networks (CNNs) are typically over-parameterized, bringing considerable computational overhead and memory footprint in inference. Pruning a proportion of unimp…
Deep Differentiable Random Forests for Age Estimation
Wei Shen, Yilu Guo, Yan Wang +3
Age estimation from facial images is typically cast as a label distribution learning or regression problem, since aging is a gradual progress. Its main challenge is the facial feat…