2 citations · 2 across the 4 of their papers we have counts for
4 papers
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
Hoàng-Ân Lê, Paul Berg, Minh-Tan Pham
Object detection and semantic segmentation are both scene understanding tasks yet they differ in data structure and information level. Object detection requires box coordinates for…
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data
Hoàng-Ân Lê, Minh-Tan Pham
Multi-task partially annotated data where each data point is annotated for only a single task are potentially helpful for data scarcity if a network can leverage the inter-task rel…
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection
Hoàng-Ân Lê, Minh-Tan Pham
Self-training allows a network to learn from the predictions of a more complicated model, thus often requires well-trained teacher models and mixture of teacher-student data while…
Knowledge Distillation for Object Detection: from generic to remote sensing datasets
Hoàng-Ân Lê, Minh-Tan Pham
Knowledge distillation, a well-known model compression technique, is an active research area in both computer vision and remote sensing communities. In this paper, we evaluate in a…