showlab
Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.
Software by showlab
Efficient-CLS
Efficient-CLS is an official implementation of the ICCV 2023 paper focused on label-efficient online continual object detection in streaming video. Developed by researchers from Show Lab at NUS and other institutions, this software addresses the challenge of detecting objects in continuous video streams while minimizing the need for manual data annotation. The system leverages pseudo-labeling and replay mechanisms to train continuously on unlabeled data, significantly reducing the computational and human-labeling costs associated with traditional object detection models. Built upon Facebook Research's Detectron2 framework, the codebase utilizes Faster R-CNN architectures pre-trained on PASCAL VOC datasets. It supports evaluation on benchmark datasets such as OAK and EgoObjects, allowing users to configure experiments with varying annotation budgets and pseudo-label ratios. Key features include streaming video analysis, support for incremental learning scenarios, and flexible configuration for replay sizes and