896 Open source projects that are alternatives of or similar to Pixelnet

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

An open source framework for deep learning on satellite and aerial imagery.

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

code for py-R-FCN-multiGPU maintained by bupt-priv

TensorRT for Yolov3

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

Collection of computer vision models, ready to be included in a JVM project

This is a fast caffe implementation of ShuffleNet.

《深度学习与计算机视觉》配套代码

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

A real-time object detection framework of Yolov3/v4 based on caffe

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

vehicle image retrieval using k CNNs ensemble method

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Latent space autoregression for novelty detection.

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

load caffe prototxt and weights directly in pytorch

SegSort: Segmentation by Discriminative Sorting of Segments

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

PyTorch Blog Post On Image Similarity Search

Pytorch for Segmentation

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Caffe Implementation of Google's MobileNets (v1 and v2)

📹 一个短视频APP视频内容安全审核的思路调研及实现汇总

Training Toolbox for Caffe

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Dockerfile and runscripts for DispNet and FlowNet1 (estimation of disparity and optical flow)

A light-weight, power efficient, and general purpose convolutional neural network

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

PSPNet in Chainer

Keras implementation of Representation Learning with Contrastive Predictive Coding

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Unsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)

Tools to Design or Visualize Architecture of Neural Network

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

ImageNet pre-trained models with batch normalization for the Caffe framework

segmentation repo using pytorch

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

PyTorch for Semantic Segmentation

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning Benchmarking Suite

Unsupervised Learning for Image Registration

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

PHP-ML - Machine Learning library for PHP

🤘 awesome-semantic-segmentation