On a four-species African wildlife dataset, ViT-H/14 reaches 99% accuracy versus 67% for the best CNN (DenseNet-201), but at far greater computational cost.
A review of deep learning techniques for detecting animals in aerial and satellite images,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers
On a four-species African wildlife dataset, ViT-H/14 reaches 99% accuracy versus 67% for the best CNN (DenseNet-201), but at far greater computational cost.