[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
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Updated
Apr 30, 2024 - Python
[ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
A paper list of RGBD semantic segmentation (processing)
Applying Open3D functions to integrate experimentally measured color and depth frames into a 3D object.
A High-Efficient Research Development Toolkit for Image Segmentation Based on Pytorch.
[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.
[CVPR 2022] Code release for "Multimodal Token Fusion for Vision Transformers"
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)
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)
Real-time streaming (AWS kvs) & object detection & semantic segmentation using RealSense D435i on Jetson Nano
This repo contains the PyTorch code for an encoder-decoder model for affordance reasoning and segmentation in RGB-D videos.
DeepLab v3+ model in PyTorch supporting RGBD input
Pytorch 1.5 implementation of depth-aware CNN for RGB-D Segmentation, ECCV 2018
This repository is about an implementation of SegNet a Convolution-Deconvolution neural network for semantic segmentation trained from scratch with synthetic data.
[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.
Autonomous Driving Turtlebot using BiSeNet segmentation network on RGBD data
Autonomous Drive Turtlebot using BiSeNet segmentation network on RGBD data
ENet for 2D semantic segmentation in ScanNet
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