jiequancui
My research interests include model generalization, robustness, imbalanced learning, and image segmentation
NTUSingapore
Pinned Repositories
Imbalanced-Learning
Imbalanced learning tool for imbalanced recognition and segmentation
LBGAT
Learnable Boundary Guided Adversarial Training (ICCV2021)
Parametric-Contrastive-Learning
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
DKL
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024
FPNASNet
Fast and Practical Neural Architecture Search (ICCV2019)
jiequancui.github.io
LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
ResLT
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
jiequancui's Repositories
jiequancui/ResLT
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
jiequancui/DKL
Decoupled Kullback-Leibler Divergence Loss (DKL), NeurIPS 2024
jiequancui/FPNASNet
Fast and Practical Neural Architecture Search (ICCV2019)
jiequancui/jiequancui.github.io
jiequancui/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)