This document summarizes a paper titled "DeepI2P: Image-to-Point Cloud Registration via Deep Classification". The paper proposes a method for estimating the camera pose within a point cloud map using a deep learning model. The model first classifies whether points in the point cloud fall within the camera's frustum or image grid. It then performs pose optimization to estimate the camera pose by minimizing the projection error of inlier points onto the image. The method achieves more accurate camera pose estimation compared to existing techniques based on feature matching or depth estimation. It provides a new approach for camera localization using point cloud maps without requiring cross-modal feature learning.
1. Two papers on unsupervised domain adaptation were presented at ICML2018: "Learning Semantic Representations for Unsupervised Domain Adaptation" and "CyCADA: Cycle-Consistent Adversarial Domain Adaptation".
2. The CyCADA paper uses cycle-consistent adversarial domain adaptation with cycle GAN to translate images at the pixel level while also aligning representations at the semantic level.
3. The semantic representation paper uses semantic alignment and introduces techniques like adding noise to improve over previous semantic alignment methods.
You Only Look One-level Featureの解説と見せかけた物体検出のよもやま話Yusuke Uchida
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第7回全日本コンピュータビジョン勉強会「CVPR2021読み会」(前編)の発表資料です
https://kantocv.connpass.com/event/216701/
You Only Look One-level Featureの解説と、YOLO系の雑談や、物体検出における関連する手法等を広く説明しています
1. Two papers on unsupervised domain adaptation were presented at ICML2018: "Learning Semantic Representations for Unsupervised Domain Adaptation" and "CyCADA: Cycle-Consistent Adversarial Domain Adaptation".
2. The CyCADA paper uses cycle-consistent adversarial domain adaptation with cycle GAN to translate images at the pixel level while also aligning representations at the semantic level.
3. The semantic representation paper uses semantic alignment and introduces techniques like adding noise to improve over previous semantic alignment methods.
You Only Look One-level Featureの解説と見せかけた物体検出のよもやま話Yusuke Uchida
?
第7回全日本コンピュータビジョン勉強会「CVPR2021読み会」(前編)の発表資料です
https://kantocv.connpass.com/event/216701/
You Only Look One-level Featureの解説と、YOLO系の雑談や、物体検出における関連する手法等を広く説明しています