Before revision:  When applied to camera trap data from the Snapshot Serengeti dataset, our best model which leverages context from up to a month of images outperforms the single-frame baseline by 17.9\% mAP at 0.5 IOU , and outperforms S3D (a 3d convolution based baseline) by 11.2\% mAP.
After revision:  When applied to camera trap data from the Snapshot Serengeti dataset, Context R-CNN with context from up to a month of images outperforms the single-frame baseline by 17.9\% mAP at 0.5 IOU , and outperforms S3D (a 3d convolution based baseline) by 11.2\% mAP.