23 Open source projects that are alternatives of or similar to anchor-diff-VOS

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

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

Pytorch implementation of CVPR2021 oral paper (best paper candidate), "Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps"

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).

Escaping Plato’s Cave: 3D Shape from Adversarial Rendering [ICCV 2019]

ViNet Pushing the limits of Visual Modality for Audio Visual Saliency Prediction

Implementation of "Efficient Regional Memory Network for Video Object Segmentation". (Xie et al., CVPR 2021)

Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)

Code for our ICCV 19 paper : Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking

C++ Implementation of SiamMask

Official implementation of "Content-Consistent Generation of Realistic Eyes with Style", ICCW 2019

Pytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT), ICCV Workshops 2019.

FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

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

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

Text recognition (optical character recognition) with deep learning methods.

achieves 35.1 mAP while as fast as SSD-vgg16

Human-Aware Motion Deblurring (ICCV2019)