DeepLab v3+ model in PyTorch supporting RGBD input
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Updated
Mar 31, 2021 - Jupyter Notebook
DeepLab v3+ model in PyTorch supporting RGBD input
Autonomous Drive Turtlebot using BiSeNet segmentation network on RGBD data
Real-time streaming (AWS kvs) & object detection & semantic segmentation using RealSense D435i on Jetson Nano
Pytorch 1.5 implementation of depth-aware CNN for RGB-D Segmentation, ECCV 2018
A High-Efficient Research Development Toolkit for Image Segmentation Based on Pytorch.
This repo contains the PyTorch code for an encoder-decoder model for affordance reasoning and segmentation in RGB-D videos.
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
This repository is about an implementation of SegNet a Convolution-Deconvolution neural network for semantic segmentation trained from scratch with synthetic data.
ENet for 2D semantic segmentation in ScanNet
Autonomous Driving Turtlebot using BiSeNet segmentation network on RGBD data
Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)
[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
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)
[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"
A paper list of RGBD semantic segmentation (processing)
[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.
[TPAMI 2022, NeurIPS 2020] Code release for "Deep Multimodal Fusion by Channel Exchanging"
[CVPR2021 Oral] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation.
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