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Found 4 papers, 2 papers with code
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Finally, we can obtain multiple discriminative regions on high-level feature channels and obtain multiple more minute regions within these discriminative regions on middle-level feature channels.
Dilated-Scale-Aware Attention ConvNet For Multi-Class Object Counting
In this paper, we propose a simple yet efficient counting network based on point-level annotations.
Your "Flamingo" is My "Bird": Fine-Grained, or Not
For that, we re-envisage the traditional setting of FGVC, from single-label classification, to that of top-down traversal of a pre-defined coarse-to-fine label hierarchy -- so that our answer becomes "bird"-->"Phoenicopteriformes"-->"Phoenicopteridae"-->"flamingo".
Ranked #16 on
Fine-Grained Image Classification
on FGVC Aircraft
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks
The NN based feedback controller was learned in the simulation and directly deployed on the real quadruped robot Jueying Mini successfully.
