Search Results for author: Gensheng Pei

Found 8 papers, 7 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

Relating CNN-Transformer Fusion Network for Change Detection

1 code implementation3 Jul 2024 Yuhao Gao, Gensheng Pei, Mengmeng Sheng, Zeren Sun, Tao Chen, Yazhou Yao

While deep learning, particularly convolutional neural networks (CNNs), has revolutionized remote sensing (RS) change detection (CD), existing approaches often miss crucial features due to neglecting global context and incomplete change learning.

Change Detection Decoder

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.

Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation

1 code implementation21 Apr 2024 Gensheng Pei, Yazhou Yao, Jianbo Jiao, Wenguan Wang, Liqiang Nie, Jinhui Tang

To achieve this objective, we present a unified self-supervised approach to learn visual representations of static-dynamic feature similarity.

Semantic Segmentation Video Object Segmentation +1

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

Hierarchical Graph Pattern Understanding for Zero-Shot VOS

1 code implementation15 Dec 2023 Gensheng Pei, Fumin Shen, Yazhou Yao, Tao Chen, Xian-Sheng Hua, Heng-Tao Shen

However, existing optical flow-based methods have a significant dependency on optical flow, which results in poor performance when the optical flow estimation fails for a particular scene.

Decoder Graph Neural Network +6

Co-attention Propagation Network for Zero-Shot Video Object Segmentation

1 code implementation8 Apr 2023 Gensheng Pei, Yazhou Yao, Fumin Shen, Dan Huang, Xingguo Huang, Heng-Tao Shen

Zero-shot video object segmentation (ZS-VOS) aims to segment foreground objects in a video sequence without prior knowledge of these objects.

Decoder Optical Flow Estimation +4

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