17853313621

17853313621's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.5k7551.3k7.9k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.5k2922022.6k

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.2k68484963

• NVlabs/PWC-Net

  PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

  Language:Python1.6k44130356

• TRI-ML/packnet-sfm

  TRI-ML Monocular Depth Estimation Repository

  Language:Python1.2k58228243

• ClementPinard/SfmLearner-Pytorch

  Pytorch version of SfmLearner from Tinghui Zhou et al.

  Language:Python1k26142227

• yzcjtr/GeoNet

  Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)

  Language:Python7293473181

• irfanICMLL/structure_knowledge_distillation

  The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

  Language:Python7081471103

• anuragranj/cc

  Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

  Language:Python530372962

• sniklaus/pytorch-liteflownet

  a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

  Language:Python412105280

• twhui/LiteFlowNet3

  LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation, ECCV 2020

  Language:Python255151018

• lhoyer/improving_segmentation_with_selfsupervised_depth

  [CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

  Language:Python24892030

• vt-vl-lab/DF-Net

  [ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

  Language:Python211102328

• DrSleep/multi-task-refinenet

  Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

  Language:Jupyter Notebook20491145

• ifnspaml/SGDepth

  [ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

  Language:Python20493826

• lmb-freiburg/netdef_models

  Repository for different network models related to flow/disparity (ECCV 18)

  Language:Python157181332

• danaberman/underwater-hl

  MATLAB code for color restoration of underwater images

  Language:Matlab1222345

• valeoai/DADA

  Depth-aware Domain Adaptation in Semantic Segmentation

  Language:Python11481518

• CVLAB-Unibo/Semantic-Mono-Depth

  Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

  Language:Python10813728

• ChristophReich1996/Cell-DETR

  Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].

  Language:Python10021823

• TWJianNuo/EdgeDepth-Release

  Github Repo for Paper "The Edge of Depth: Explicit Constraints between Segmentation and Depth"

  Language:Python9661313

• iapatil/depth-semantic-fully-conv

  PyTorch Implementation for CS231N Course Project - "Fully Convolutional Network for Depth Estimation and Semantic Segmentation"

  Language:Python868527

• qinenergy/corda

  [ICCV 2021] Code for our paper Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

  Language:Python7141412

• sanweiliti/Segmentation-MonoDepth-Pytorch

  CNNs for semantic segmentation and monocular depth estimation in Pytorch with cross experiments and saliency map analysis

  Language:Python24206

• madhubabuv/NightDepthADFA

  Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation

  17930

• paeccher/Depth-Map-Prediction-from-Single-Image-in-Keras

  Keras reimplementation of the 2015 ICCV paper "Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture" from Eigen and Fergus.

  Language:Python13523

• go125/struct2depth_eval

  This code calculates Abs Real Error of the struct2depth and Depth from video in the wild model. (Success)

  Language:Python10301

• imvinod/MultitaskNet

  Joint Semantic segmentation and Depth Estimation

  Language:Python7102

• aminullah6264/LiteFlowNet-for-Video

  Language:Python5113

• buptzqr/OpticalFlowPileline

  基于liteflownet用来提取光流信息并可视化

  Language:Python1200