464 Open source projects that are alternatives of or similar to SPML

Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

SegSort: Segmentation by Discriminative Sorting of Segments

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

SOTA Semantic Segmentation Models in PyTorch

Cut and paste augmentation for object detection and instance segmentation

Keras BiseNet architecture implementation

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

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

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

Semantic-TSDF for Self-driving Static Scene Reconstruction

U-NET Semantic Segmentation model for Mobile

TensorFlow implementation of LinkNet

scLearn：Learning for single cell assignment

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

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

Code for Supervised Word Mover's Distance (SWMD)

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Cell Detection with PyTorch.

OpenCV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.)

Weakly supervised medical named entity classification

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Generalized Deep Metric Learning.

Source 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).

Official PyTorch implementation of SegFormer

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

This is the example implementation of UNet model for semantic segmentations

Local Fisher Discriminant Analysis in R

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

Automated 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

Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform (RA-L)

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

Learning Tree structures and Tree metrics

AttaNet for real-time semantic segmentation.

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Google DeepLab V3 for Image Semantic Segmentation

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Papers and Codes about Deep Metric Learning/Deep Embedding

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

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

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

[AAAI 2019] Weakly-Supervised Hierarchical Text Classification

Code for NeurIPS 2019 Paper

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Implementation details for EDANet

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

Retrieve recipes from foodie pictures using Deep Learning and Pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network(PyTorch >= 1.4)