821 Open source projects that are alternatives of or similar to ObjectNet

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Easily train or fine-tune SOTA computer vision models with one open source training library

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Segmentation models with pretrained backbones. PyTorch.

Sandbox for training deep learning networks

Address book for computer vision models.

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Official PyTorch implementation of SegFormer

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

📚 A collection of papers about Referring Image Segmentation.

An extension of Open3D to address 3D Machine Learning tasks

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

A paper list of RGBD semantic segmentation (processing)

Paper notes in deep learning/machine learning and computer vision

Cell Detection with PyTorch.

Protein Language Model

Finetuning any DNN for better embedding on neural search tasks

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

AttaNet for real-time semantic segmentation.

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Cut and paste augmentation for object detection and instance segmentation

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Keras implementation of BERT with pre-trained weights

SOTA Semantic Segmentation Models in PyTorch

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Deep Learning for Computer Vision (CommE 5052) in NTU

The low-level linux containers creation library for rust

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Alzheimer's Disease Prediction by using ResNet, AlexNet

Tensorflow 2.x implementation YOLACT

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

This is the dataset and code release of the OpenRooms Dataset. For more information, please refer to our webpage below. Thanks a lot for your interest in our research!

segmentation paper reading notes

No description or website provided.

"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

FPGA Deployable Fire Detection Model for Real-Time Video Surveillance Systems Using Convolutional Neural Networks

HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)

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