An attention-based spatial-temporal feature blending extension to object detectors achieves 91.17% mAP at great ape detection on 500 camera trap videos, outperforming frame-based baselines.
Cascade R-CNN: Delv- ing into High Quality Object Detection
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Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending
An attention-based spatial-temporal feature blending extension to object detectors achieves 91.17% mAP at great ape detection on 500 camera trap videos, outperforming frame-based baselines.