Recent weakly supervised semantic segmentation paper
[CVPR 2022 Oral] Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation https://arxiv.org/abs/2111.12940
Pytorch implementation of CVPR2020 paper "Correlating Edge, Pose with Parsing"
[ECCV 2024] Pytorch code for our ECCV'24 paper NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".
Joint Geometric and Object Segmentation for Indoor Scenes
This is a semantic SLAM system that is robust in dyanmic environments.
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Text Summarization on Spotify Podcast Transcripts for NLP class at @unibo
ResNet + FCN (tensorflow version) for Semantic Segmentation
Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.
CVPR 2018 WAD Video Segmentation Challenge with SegNet
Point Cloud Augmentation
基于车载图像序列的路况分析
Official code for the paper "Ro-SOS: Metric Expression Network (MEnet) for Robust Salient Object Segmentation"
Leverage the power of Deep Learning to automatically detect, segment and classify surface defects 🤯🤯
Research internship in semantic segmentation for panoramic images.
Bachelor’s Thesis (TFG) implementation based on https://github.com/CSAILVision/semantic-segmentation-pytorch for semantic segmentation of multispectral images, specifically applied to the GID dataset.
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