4 papers
Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
Lianlei Shan, Wenzhang Zhou, Wei Li +1
The goal of incremental Few-shot Semantic Segmentation (iFSS) is to extend pre-trained segmentation models to new classes via few annotated images without access to old training da…
Lifelong Learning and Selective Forgetting via Contrastive Strategy
Lianlei Shan, Wenzhang Zhou, Wei Li +1
Lifelong learning aims to train a model with good performance for new tasks while retaining the capacity of previous tasks. However, some practical scenarios require the system to…
Boosting General Trimap-free Matting in the Real-World Image
Leo Shan Wenzhang Zhou Grace Zhao
Image matting aims to obtain an alpha matte that separates foreground objects from the background accurately. Recently, trimap-free matting has been well studied because it require…
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention
Xingyu Ding, Lianlei Shan, Guiqin Zhao +3
Deep learning-based information processing consumes long time and requires huge computing resources, especially for dense prediction tasks which require an output for each pixel, l…