Self-Supervised Scene De-occlusionarxiv.org 代码: https://github.com/XiaohangZhan/deocclusiongithub.com Demo视频(YouTube): https://www.youtube.com/watch?v=xIHCyyaB5gUwww.youtube.com Demo视频(B站): B站 Reference: [1] X
githubVisual src_common src_tfGraph thirdParty tools .gitignore .gitmodules LICENSE README.md __init__.py requirements.txt test_image.py train_unsupervise.py Repository files navigation README MIT license Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-...
First, traditional methods for self-supervised 3D occupancy estimation still require ground truth 6D poses from sensors during training. To address this limitation, we propose Gaussian Splatting for Projection (GSP) module to provide accurate scale information for fully self-supervised training from ...
Although increasingly training expensive, most self-supervised learning (SSL) models have repeatedly been trained from scratch but not fully utilized since only a few SOTAs are employed for downstream tasks. To mitigate the high training costs of SSL, this work explores a framework aimed at sustain...
In order to address such limitation, this paper introduces a Self-Supervised Learning model with Task-Oriented Knowledge Distillation for person ReID. The ReID-oriented Prior is proposed to simulate the primary challenges of low-quality imaging and occlusion in real-world scenarios, while the teacher...
In our self-supervised setting, we create the new target image It+1 by injecting random noise on superpixels for occlusion generation. We can inject noise to any of three consecutive frames and even multiple of them as shown in Figure 1. For brevity, here we choose It+1 as an examp...
2.3 Multi-camera self-supervised depth estimation Multi-camera depth estimation is a long-standing topic, which is usually solved by multi-view stereo, i.e., recon- structing 3D information of the scene from pictures of different angles. Multi-view stereo usually needs a large overlap to ...
Lane detection is an important component of advanced driving aided system (ADAS). It is a combined component of the planning and control algorithms. Therefore, it has high standards for the detection accuracy and speed. Recently several researchers have
Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021. self-trainingself-supervised-learningobject-pose-estimation6d-pose-estimationobject-pose-refinement ...
This repository contains official PyTorch implementation for3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. The manual annotation for large-scale point clouds is still tedious and unavailable for many harsh real-world tasks. Self-supervised learning, which is used on raw...