Visual Scene Change Detection from RGB Images

Implemented Outdoor Visual Scene Change Detection (VSCD) using state of the art approaches for change detection (e.g., DR-TANet). A major challenge here is the lack of extensive datasets for outdoor change detection. Available datasets like VL-CMU-CD and PSCD only offer a few thousand samples (most of them are duplicates or generated from other samples via data augmentation strategies). Indoor datasets like ChangeSim, however, offer several 100k images. Major improvements to outdoor scene change detection were achieved by pretraining on ChangeSim and then testing on outdoor datasets. Concrete project details under NDA.