DSGNDSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
Stars: ✭ 276 (+181.63%)
HoHoNet"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.
Stars: ✭ 65 (-33.67%)
BridgeDepthFlowBridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Stars: ✭ 114 (+16.33%)
Monodepth2[ICCV 2019] Monocular depth estimation from a single image
Stars: ✭ 2,714 (+2669.39%)
EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Stars: ✭ 105 (+7.14%)
tf-monodepth2Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"
Stars: ✭ 75 (-23.47%)
MobileUNETU-NET Semantic Segmentation model for Mobile
Stars: ✭ 39 (-60.2%)
UAV-Stereo-VisionA program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping
Stars: ✭ 30 (-69.39%)
AttaNetAttaNet for real-time semantic segmentation.
Stars: ✭ 37 (-62.24%)
temporal-depth-segmentationSource code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).
Stars: ✭ 20 (-79.59%)
zed-openposeReal-time 3D multi-person with OpenPose and the ZED
Stars: ✭ 37 (-62.24%)
Fast-SCNN pytorchA PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)
Stars: ✭ 30 (-69.39%)
SGDepth[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Stars: ✭ 162 (+65.31%)
hypersegHyperSeg - Official PyTorch Implementation
Stars: ✭ 174 (+77.55%)
SemiSeg-AELSemi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
Stars: ✭ 79 (-19.39%)
Swin-Transformer-Semantic-SegmentationThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
Stars: ✭ 856 (+773.47%)
CAP augmentationCut and paste augmentation for object detection and instance segmentation
Stars: ✭ 93 (-5.1%)
wasr networkWaSR Segmentation Network for Unmanned Surface Vehicles v0.5
Stars: ✭ 32 (-67.35%)
ESANetESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Stars: ✭ 154 (+57.14%)
adversarial-attacksCode for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (-8.16%)
StereoNetA customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"
Stars: ✭ 107 (+9.18%)
Automated-objects-removal-inpainterAutomated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos
Stars: ✭ 88 (-10.2%)
SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Stars: ✭ 81 (-17.35%)
Context-Aware-ConsistencySemi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
Stars: ✭ 121 (+23.47%)
3D60Tools accompanying the 3D60 spherical panoramas dataset
Stars: ✭ 83 (-15.31%)
kitti deeplabInference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.
Stars: ✭ 26 (-73.47%)
PatchMatchCudaThe PatchMatch stereo match algorithm implemented by CUDA.
Stars: ✭ 32 (-67.35%)
pytorch-segmentation🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Stars: ✭ 1,184 (+1108.16%)
super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
Stars: ✭ 429 (+337.76%)
GrabCut-Annotation-ToolOpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)
Stars: ✭ 27 (-72.45%)
DiverseDepthThe code and data of DiverseDepth
Stars: ✭ 150 (+53.06%)
SharpPeleeNetImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection
Stars: ✭ 13 (-86.73%)
panoptic-forecasting[CVPR 2021] Forecasting the panoptic segmentation of future video frames
Stars: ✭ 44 (-55.1%)
SUIMSemantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020
Stars: ✭ 53 (-45.92%)
SegFormerOfficial PyTorch implementation of SegFormer
Stars: ✭ 1,264 (+1189.8%)
zed-matlabZED SDK interface sample for Matlab
Stars: ✭ 23 (-76.53%)
TF SemanticSegmentationSemantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.
Stars: ✭ 26 (-73.47%)
atomaiDeep and Machine Learning for Microscopy
Stars: ✭ 77 (-21.43%)
CVPR2021 PLOPOfficial code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
Stars: ✭ 102 (+4.08%)
unet-pytorchThis is the example implementation of UNet model for semantic segmentations
Stars: ✭ 17 (-82.65%)
semantic-tsdfSemantic-TSDF for Self-driving Static Scene Reconstruction
Stars: ✭ 14 (-85.71%)
DeepLab-V3Google DeepLab V3 for Image Semantic Segmentation
Stars: ✭ 103 (+5.1%)
map-floodwater-satellite-imageryThis repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
Stars: ✭ 21 (-78.57%)
SAFNet[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"
Stars: ✭ 19 (-80.61%)