A popular protocol for such research is the object-recognition task. ... a one-trial non-matching-to-sample learning task to study ... of the previously experienced object, as well as detection of ...

For example, YOLOv5 recommends more than 10,000 training instances per object class. The idea behind FOMO is that not all object-detection applications require the high-precision output that state ...

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...

“The pre-trained Florence-2 backbone enhances performance on downstream tasks, e.g. COCO object detection and instance segmentation, and ADE20K semantic segmentation, surpassing both supervised ...