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Found 2 papers, 1 papers with code
NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
Our contribution is three-fold: (1) we design a standalone lightweight generator with (2) class-wise heads (3) to generate and replay diverse instance-level base features to the RoI head while finetuning on the novel data.
Data-free Knowledge Distillation
Few-Shot Object Detection
+2
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines
Understanding the results of deep neural networks is an essential step towards wider acceptance of deep learning algorithms.
