Cross-validation of a semantic segmentation network for natural history collection specimens.
Abraham Nieva de la HidalgaPaul L. RosinXianfang SunLaurence LivermoreJames DurrantJames TurnerMathias DillenAlicia MussonSarah PhillipsQuentin GroomAlex R. HardistyPublished in: Mach. Vis. Appl. (2022)
Keyphrases
- cross validation
- semantic segmentation
- model selection
- support vector
- superpixels
- label transfer
- training set
- higher order
- conditional random fields
- object categories
- scene classification
- weakly supervised
- feature extraction
- feature selection
- object detection
- hidden markov models
- high dimensional
- multiscale
- training data