Stochastic partial swap: Enhanced model generalization and interpretability for fine-grained recognition
Learning mid-level representation for fine-grained recognition is easily dominated by a
limited number of highly discriminative patterns, degrading its robustness and generalization …
limited number of highly discriminative patterns, degrading its robustness and generalization …
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition
S Huang, X Wang, D Tao - 2021 IEEE/CVF International …, 2021 - ieeexplore.ieee.org
Learning mid-level representation for fine-grained recognition is easily dominated by a
limited number of highly discriminative patterns, degrading its robustness and generalization …
limited number of highly discriminative patterns, degrading its robustness and generalization …
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition
S Huang, X Wang, D Tao - 2021 IEEE/CVF International Conference …, 2021 - computer.org
Learning mid-level representation for fine-grained recognition is easily dominated by a
limited number of highly discriminative patterns, degrading its robustness and generalization …
limited number of highly discriminative patterns, degrading its robustness and generalization …