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Found 4 papers, 2 papers with code
Quantized Feature Distillation for Network Quantization
QFD first trains a quantized (or binarized) representation as the teacher, then quantize the network using knowledge distillation (KD).
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images
That is, coarse crops benefits scene images SSL.
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
In this paper, we explore to excavate the confusion matrix, which carries the fine-grained misclassification details, to relieve the pairwise biases, generalizing the coarse one.
Distilling Virtual Examples for Long-tailed Recognition
We tackle the long-tailed visual recognition problem from the knowledge distillation perspective by proposing a Distill the Virtual Examples (DiVE) method.
Ranked #19 on
Long-tail Learning
on iNaturalist 2018
