GIM: Learning Generalizable Image Matcher From Internet Videos

no code implementations • 16 Feb 2024 • Xuelun Shen, Zhipeng Cai, Wei Yin, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang

Given an architecture, GIM first trains it on standard domain-specific datasets and then combines it with complementary matching methods to create dense labels on nearby frames of novel videos.

Domain Generalization

DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

1 code implementation • 1 Jun 2021 • Yanfei Su, Weiquan Liu, Zhimin Yuan, Ming Cheng, Zhihong Zhang, Xuelun Shen, Cheng Wang

As there is a lack of 3D point clouds datasets related to the fine-grained building facade, we construct the first large-scale building facade point clouds benchmark dataset for semantic segmentation.

3D Semantic Segmentation Point Cloud Segmentation +1

A Detector-oblivious Multi-arm Network for Keypoint Matching

1 code implementation • 2 Apr 2021 • Xuelun Shen, Cheng Wang, Xin Li, Qian Hu, Jingyi Zhang

This paper presents a matching network to establish point correspondence between images.

RF-Net: An End-to-End Image Matching Network based on Receptive Field

1 code implementation • CVPR 2019 • Xuelun Shen, Cheng Wang, Xin Li, Zenglei Yu, Jonathan Li, Chenglu Wen, Ming Cheng, Zijian He

This paper proposes a new end-to-end trainable matching network based on receptive field, RF-Net, to compute sparse correspondence between images.

Keypoint Detection