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Check out our paper today at #CVPR2020 🎉🎉🎉
cvpr20.com/event/context-…
Context R-CNN: Long Term Temporal Context for Per Camera Object Detection
Come ask questions at the live Q&As!
First session: June 18, 3-5 PM PDT
Second session: June 19, 3-5 AM PDT
Our @CVPR spotlight vid:
cvpr20.com/event/context-…
Context R-CNN: Long Term Temporal Context for Per Camera Object Detection
Come ask questions at the live Q&As!
First session: June 18, 3-5 PM PDT
Second session: June 19, 3-5 AM PDT
Our @CVPR spotlight vid:
In static cameras (like #cameratraps), relevant context for identifying objects can be spread out across long time horizons. For example, these two images come from the same camera and are uncannily similar, but they were taken a month apart! Turns out animals are pretty habitual 
We propose a simple and flexible method for aggregating context from up to a month of data, using attention! We first build an (unsupervised) “memory bank” for each location. We add context for each object by finding features in the memory bank that help us identify that object.
