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cooperative_scene_parsing

Code for NeurIPS 2018: Cooperative Holisctic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

ddrnet.pytorch

This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data

depth-anything

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

im3d

mobileformer

Code and models for mobile-former

pfsegnets

PointFlow (CVPR-2021)

pidnet

This is the official repository for our recent work: PIDNet

pytorch-deformable-convolution-v2

Don't feel pain to use Deformable Convolution

pytorch-receptive-field

Compute CNN receptive field size in pytorch in one line

resnest

ResNeSt: Split-Attention Networks

roca

Official code for ROCA: Robust CAD Model Retrieval and Alignment from a Single Image (CVPR 2022)

stdc-seg

Source Code of our CVPR2021 paper "Rethinking BiSeNet For Real-time Semantic Segmentation"

torchcv

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

total3dunderstanding

Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image