video-segmentation

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

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

PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)

[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

[CVPR 2021] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Semi-supervised VOS as well!

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

[CVPR 2017] Video motion segmentation and tracking

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Modified implementation for DVSNet based on Tensorflow

Video Object Segmentation

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.

Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016

Literature Review for Interactive annotation/segmentation

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Implementation of the hierarchical graph-based video segmentation algorithm proposed by Grundmann et al. [1] based on the image segmentation algorithm by Felzenswalb and Huttenlocher [2].

Paper list

Skeleton-based method for activity recognition problem

Code for the paper "Exploiting Temporality for Semi Supervised Video Segmentation" (ICCV '19)

Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection

Learn how to change background efficiently and easily by just using 3-4 lines of code using Python's Pixellib library that uses Deeplab's pre-trained Deep Learning model.

SiamBOMB: Siamese network using Background information for real-time Online Multi-species home-cage animal Behavioral analysis. (Updating)

[CVPR 2021] Youtube-VIS 2021 3rd place, [CVPR 2020] winner DAVIS 2020. Code for mask selection based methods.

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

Weakly-supervised road-lane markings detection for autonomous driving, mitigating the lack of training data

A simple and efficient codebase for the optical flow based video object segmentation.

A contrastive learning based semi-supervised segmentation network for medical image segmentation