Xiu-Shen Wei

papers

1,905

total citations

papers (17)

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

CVPR 2020arXiv

929

citations

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval

ECCV 2022arXiv

citations

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

NEURIPS 2022arXiv

citations

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels

NEURIPS 2023arXiv

citations

Equiangular Basis Vectors

CVPR 2023arXiv

citations

Object-level Correlation for Few-Shot Segmentation

ICCV 2025arXiv

citations

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval

NEURIPS 2021

citations

An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing

CVPR 2024

citations

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars

ECCV 2022

citations

Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning

ICCV 2025

citations

Xiu-Shen Wei

papers (17)

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

Exploring Categorical Regularization for Domain Adaptive Object Detection

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification

Distilling Virtual Examples for Long-Tailed Recognition

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval

Hierarchical Context Embedding for Region-based Object Detection

Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels

Equiangular Basis Vectors

Object-level Correlation for Few-Shot Segmentation

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval

An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars

Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning

papers (17)

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

Exploring Categorical Regularization for Domain Adaptive Object Detection

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification

Distilling Virtual Examples for Long-Tailed Recognition

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval

Hierarchical Context Embedding for Region-based Object Detection

Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels

Equiangular Basis Vectors

Object-level Correlation for Few-Shot Segmentation

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval

An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars

Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning