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🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
A ROS package for LiDAR's Bird's Eye View projection.
🛣️ automatic extraction of road markings from MLS or ALS point cloud [ISPRS-A' 19]
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
A curated list of resources for Learning with Noisy Labels
[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
An implementation of AVP-SLAM and some new contributions
This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefor…
AAAI 2022: Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation
Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)
The ApolloScape Open Dataset for Autonomous Driving and its Application.
IJCAI2020 & IJCV2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.
Semi-supervised semantic segmentation needs strong, varied perturbations
Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
A ROS-based player to replay KiTTI dataset. http://www.cvlibs.net/datasets/kitti/
based on the paper A real-time curb detection and tracking method for UGVs by using a 3D-LIDAR sensor
The official TensorFlow implementation for ICCV'21 paper 'Dual Contrastive Loss and Attention for GANs'
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018