Search Results for author: Xiruo Jiang

Found 6 papers, 4 papers with code

Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation

1 code implementation3 Jul 2024 Tao Chen, Xiruo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao

Considering the adopted bidirectional alignment will also weaken the anchor image activation if appropriate constraints are missing, we propose a self-supervised regularization module to maintain the reliable activation in discriminative regions and improve the inter-class object boundary recognition for complex images with multiple categories of objects.

Object Object Discovery +3

Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric

1 code implementation3 Jul 2024 Xiruo Jiang, Yazhou Yao, Xili Dai, Fumin Shen, Xian-Sheng Hua, Heng-Tao Shen

Deep metric learning (DML) aims to learn a discriminative high-dimensional embedding space for downstream tasks like classification, clustering, and retrieval.

Diversity Metric Learning

Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection

no code implementations24 May 2024 Fan Liu, Liang Yao, Chuanyi Zhang, Ting Wu, Xinlei Zhang, Xiruo Jiang, Jun Zhou

Specifically, a Scale-Invariant Feature Disentangling module is designed to disentangle scale-related and scale-invariant features.

Disentanglement object-detection +1

A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images

no code implementations30 Apr 2024 Wang Zhang, TingTing Li, Yuntian Zhang, Gensheng Pei, Xiruo Jiang, Yazhou Yao

Nevertheless, annotated data is frequently limited in the field of remote sensing image matching.

VideoMAC: Video Masked Autoencoders Meet ConvNets

1 code implementation CVPR 2024 Gensheng Pei, Tao Chen, Xiruo Jiang, Huafeng Liu, Zeren Sun, Yazhou Yao

In this paper, we propose a new approach termed as \textbf{VideoMAC}, which combines video masked autoencoders with resource-friendly ConvNets.

Pose Tracking Representation Learning +4

Holistic Prototype Attention Network for Few-Shot VOS

1 code implementation16 Jul 2023 Yin Tang, Tao Chen, Xiruo Jiang, Yazhou Yao, Guo-Sen Xie, Heng-Tao Shen

Existing methods have demonstrated that the domain agent-based attention mechanism is effective in FSVOS by learning the correlation between support images and query frames.

Graph Attention Semantic Segmentation +2

Cannot find the paper you are looking for? You can Submit a new open access paper.