Utilizing PyTorch, we build upon Multi-view Feature Fusion Network for Camouflaged Object Detection, taking the existing distance and angle-based viewing perspectives and adding a "color view," applying the model to the ACD1K dataset. As a result, we implement a color attention in order to preserve the model's understanding of color-based features during feature-combination within the model's characteristic Co-attention of Multi-view (CAMV) model.
Full results of this CS 231N final project, along with model improvements resulting from dataset expansion and pixel-based noramlization, can be viewed in the following paper)