Nov 6, 2021 · We propose two novel methods from the prior perspective to alleviate this dilemma. First, we deduce a balance-oriented data augmentation named ...
We propose two novel methods from the prior perspective to alleviate this dilemma. ... Rethinking class-balanced methods for long-tailed visual recognition from a ...
Setting 1 Without loss of generality, we suppose that the long-tailed distribution satisfies some kind exponential distribution with parameter [8].
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective ... This is the PyTorch implementation of our paper in NeurIPS 2021.
Recognition from Prior Perspective. Zhengzhuo Xu1⇤, Zenghao Chai1⇤, Chun ... We propose two novel methods from the prior perspective to alleviate this dilemma.
[√] [*] Towards Calibrated Model for Long-tailed Visual Recognition from Prior Perspective [code]; [-] ABC: Auxiliary Balanced Classifier for Class ...
38.75. Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective. 2021. 25. CBD+TailCalibX. 38.87. Feature Generation for Long-tail ...
The decision boundary is often uncalibrated in long-tailed recognition, which will lead to imperfect predictions, i.e., the model tends to classify tail classes ...
Missing: Prior | Show results with:Prior
Towards calibrated model for long-tailed visual recognition from prior perspective. Advances in Neural Information Processing. Systems, 34, 2021. 2, 5, 6, 7 ...
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective ... An effective and simple approach to long-tailed visual recognition is to ...