Deep co-training has been introduced to semi-supervised segmentation and...
In this study, we dive deep into the unique challenges in semi-supervise...
In this work, we revisit the weak-to-strong consistency framework,
popul...
Most of the existing Out-Of-Distribution (OOD) detection algorithms depe...
Current out-of-distribution (OOD) detection benchmarks are commonly buil...
Deep semi-supervised learning (SSL) has experienced significant attentio...
Webly supervised learning becomes attractive recently for its efficiency...
This paper focuses on webly supervised learning (WSL), where datasets ar...
Feature pyramid has been an efficient method to extract features at diff...
Improving sparsity of deep neural networks (DNNs) is essential for netwo...
Most advances in single image de-raining meet a key challenge, which is
...
Knowledge Distillation (KD) has been used in image classification for mo...
Video Analytics Software as a Service (VA SaaS) has been rapidly growing...
Detection of video shot transition is a crucial pre-processing step in v...