Awesome Video Object Segmentation

A list of video object segmentation (VOS) papers.

Any suggestions and requests are always welcomed :)

Contents

1. Semi-Supervised VOS Papers

2. Unsupervised VOS Papers

3. Interactive VOS Papers

4. Referring VOS Papers

5. Other Related Papers

6. Popular Datasets

Semi-Supervised VOS Papers

2023

• [XMem++] XMem++: Production-level Video Segmentation From Few Annotated Frames, ICCV [arXiv]

• [ISVOS] Look Before You Match: Instance Understanding Matters in Video Object Segmentation, CVPR [Paper] [arXiv]

• [CorrLearn] Boosting Video Object Segmentation via Space-time Correspondence Learning, CVPR [Paper] [arXiv] [Code]

• [MobileVOS] MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation, CVPR [Paper] [arXiv]

• [TSVOS] Two-shot Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [LLB] Learning to Learn Better for Video Object Segmentation, AAAI [Paper] [arXiv] [Code]

2022

• [DeAOT] Decoupling Features in Hierarchical Propagation for Video Object Segmentation, NeurIPS [Paper] [arXiv] [Code]

• [BATMAN] BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation, ECCV [Paper] [arXiv]

• [XMem] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model, ECCV [Paper] [arXiv] [Code]

• [QDMN] Learning Quality-aware Dynamic Memory for Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [TBD] Tackling Background Distraction in Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [GSFM] Global Spectral Filter Memory Network for Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [AOC] Towards Robust Video Object Segmentation with Adaptive Object Calibration, ACMMM [Paper] [arXiv] [Code]

• [RDE-VOS] Recurrent Dynamic Embedding for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [PCVOS] Per-Clip Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [CoVOS] Accelerating Video Object Segmentation with Compressed Video, CVPR [Paper] [arXiv] [Code]

• [SWEM] SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization, CVPR [Paper] [arXiv] [Code]

• [RPCMVOS] Reliable Propagation-Correction Modulation for Video Object Segmentation, AAAI [Paper] [arXiv] [Code]

• [SITVOS] Siamese Network with Interactive Transformer for Video Object Segmentation, AAAI [Paper] [arXiv]

• [BMVOS] Pixel-Level Bijective Matching for Video Object Segmentation, WACV [Paper] [arXiv] [Code]

2021

• [AOT] Associating Objects with Transformers for Video Object Segmentation, NeurIPS [Paper] [arXiv] [Code]

• [STCN] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation, NeurIPS [Paper] [arXiv] [Code]

• [JOINT] Joint Inductive and Transductive Learning for Video Object Segmentation, ICCV [Paper] [arXiv] [Code]

• [HMMN] Hierarchical Memory Matching Network for Video Object Segmentation, ICCV [Paper] [arXiv] [Code]

• [DMN-AOA] Video Object Segmentation with Dynamic Memory Networks and Adaptive Object Alignment, ICCV [Paper] [Code]

• [RMNet] Efficient Regional Memory Network for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [LCM] Learning Position and Target Consistency for Memory-Based Video Object Segmentation, CVPR [Paper] [arXiv]

• [GIEL] Video Object Segmentation Using Global and Instance Embedding Learning, CVPR [Paper]

• [SwiftNet] SwiftNet: Real-time Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [SSTVOS] SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [Reuse-VOS] Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [STG-Net] Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation, AAAI [Paper] [arXiv]

• [QMRA] Query-Memory Re-Aggregation for Weakly-Supervised Video Object Segmentation, AAAI [Paper]

2020

• [STM-cycle] Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation, NeurIPS [Paper] [arXiv] [Code]

• [AFB-URR] Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement, NeurIPS [Paper] [arXiv] [Code]

• [e-OSVOS] Make One-Shot Video Object Segmentation Efficient Again, NeurIPS [Paper] [arXiv] [Code]

• [LWL] Learning What to Learn for Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [EGMN] Video Object Segmentation with Episodic Graph Memory Networks, ECCV [Paper] [arXiv] [Code]

• [CFBI] Collaborative Video Object Segmentation by Foreground-Background Integration, ECCV [Paper] [arXiv] [Code]

• [GC] Fast Video Object Segmentation using the Global Context Module, ECCV [Paper] [arXiv]

• [KMN] Kernelized Memory Network for Video Object Segmentation, ECCV [Paper] [arXiv]

• [SAT] State-Aware Tracker for Real-Time Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [FRTM] Learning Fast and Robust Target Models for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [TVOS] A Transductive Approach for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [TAN-DTTM] Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching, CVPR [Paper] [arXiv]

• [FTMU] Fast Template Matching and Update for Video Object Tracking and Segmentation, CVPR [Paper] [arXiv] [Code]

• [DIPNet] DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation, WACV [Paper]

2019

• [DMM-Net] DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation, ICCV [Paper] [arXiv] [Code]

• [AGSS-VOS] AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation, ICCV [Paper] [Code]

• [RANet] RANet: Ranking Attention Network for Fast Video Object Segmentation, ICCV [Paper] [arXiv] [Code]

• [DTN] Fast Video Object Segmentation via Dynamic Targeting Network, ICCV [Paper]

• [CapsuleVOS] CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing, ICCV [Paper] [arXiv] [Code]

• [STM] Video Object Segmentation Using Space-Time Memory Networks, ICCV [Paper] [arXiv] [Code]

• [MHP-VOS] MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [STCNN] Spatiotemporal CNN for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [RVOS] RVOS: End-To-End Recurrent Network for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [A-GAME] A Generative Appearance Model for End-To-End Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [FEELVOS] FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [SiamMask] Fast Online Object Tracking and Segmentation: A Unifying Approach, CVPR [Paper] [arXiv] [Code]

• [TIS] Tukey-Inspired Video Object Segmentation, WACV [Paper] [arXiv] [Code]

2018

• [S2S] YouTube-VOS: Sequence-to-Sequence Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [PReMVOS] PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation, ACCV [arXiv] [Code]

• [OSMN] Efficient Video Object Segmentation via Network Modulation, CVPR [Paper] [arXiv] [Code]

• [RGMP] Fast Video Object Segmentation by Reference-Guided Mask Propagation, CVPR [Paper] [Code]

• [FAVOS] Fast and Accurate Online Video Object Segmentation via Tracking Parts, CVPR [Paper] [arXiv] [Code]

2017

• [SegFlow] SegFlow: Joint Learning for Video Object Segmentation and Optical Flow, ICCV [Paper] [arXiv] [Code]

• [OSVOS] One-Shot Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [MaskTrack] Learning Video Object Segmentation from Static Images, CVPR [Paper] [arXiv] [Code]

Unsupervised VOS Papers

2023

• [Isomer] Isomer: Isomerous Transformer for Zero-Shot Video Object Segmentation, ICCV [Code]

• [PMN] Unsupervised Video Object Segmentation via Prototype Memory Network, WACV [Paper] [arXiv] [Code]

• [TMO] Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation, WACV [Paper] [arXiv] [Code]

2022

• [HFAN] Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [IMP] Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier, AAAI [Paper] [arXiv]

• [D2Conv3D] D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos, WACV [Paper] [arXiv] [Code]

• [CFAM] Video Salient Object Detection via Contrastive Features and Attention Modules, WACV [Paper] [arXiv]

2021

• [FSNet] Full-Duplex Strategy for Video Object Segmentation, ICCV [Paper] [arXiv] [Code]

• [TransportNet] Deep Transport Network for Unsupervised Video Object Segmentation, ICCV [Paper]

• [AMC-Net] Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation, ICCV [Paper] [Code]

• [RTNet] Reciprocal Transformations for Unsupervised Video Object Segmentation, CVPR [Paper] [Code]

• [F2Net] F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation, AAAI [Paper] [arXiv] [Code]

• [FrameSelect] Mask Selection and Propagation for Unsupervised Video Object Segmentation, WACV [Paper] [Code]

2020

• [3DC-Seg] Making a Case for 3D Convolutions for Object Segmentation in Videos, BMVC [Paper] [arXiv] [Code]

• [WCS-Net] Unsupervised Video Object Segmentation with Joint Hotspot Tracking, ECCV [Paper] [Code]

• [DFNet] Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation, ECCV [Paper] [arXiv]

• [MATNet] Motion-Attentive Transition for Zero-Shot Video Object Segmentation, AAAI [Paper] [arXiv] [Code]

• [UnOVOST] UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking, WACV [Paper] [arXiv] [Code]

• [EpO-Net] EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency, WACV [Paper] [arXiv] [Code]

2019

• [AD-Net] Anchor Diffusion for Unsupervised Video Object Segmentation, ICCV [Paper] [arXiv] [Code]

• [AGNN] Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks, ICCV [Paper] [arXiv] [Code]

• [AGS] Learning Unsupervised Video Object Segmentation Through Visual Attention, CVPR [Paper] [Code]

• [COSNet] See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks, CVPR [Paper] [arXiv] [Code]

• [SSAV] Shifting More Attention to Video Salient Object Detection, CVPR [Paper] [Code]

• [MOTAdapt] Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting, ICRA [Paper] [arXiv] [Code]

2018

• [PDB] Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection, ECCV [Paper] [Code]

Interactive VOS Papers

2021

• [IVOS-W] Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild, CVPR [Paper] [arXiv] [Code]

• [GIS] Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps, CVPR [Paper] [arXiv] [Code]

• [MiVOS] Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion, CVPR [Paper] [arXiv] [Code]

2020

• [ScribbleBox] ScribbleBox: Interactive Annotation Framework for Video Object Segmentation, ECCV [Paper] [arXiv] [Page]

• [ATNet] Interactive Video Object Segmentation Using Global and Local Transfer Modules, ECCV [Paper] [arXiv] [Code]

• [MA-Net] Memory Aggregation Networks for Efficient Interactive Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

2019

• [IPNet] Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks, CVPR [Paper] [arXiv] [Code]

Referring VOS Papers

2023

• [OnlineRefer] OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation, ICCV [arXiv] [Code]

• [SgMg] Spectrum-guided Multi-granularity Referring Video Object Segmentation, ICCV [arXiv] [Code]

• [R2VOS] Towards Robust Referring Video Object Segmentation with Cyclic Relational Consistency, ICCV [arXiv] [Code]

2022

• [MANet] Multi-Attention Network for Compressed Video Referring Object Segmentation, ACMMM [Paper] [arXiv] [Code]

• [MTTR] End-to-End Referring Video Object Segmentation with Multimodal Transformers, CVPR [Paper] [arXiv] [Code]

• [ReferFormer] Language as Queries for Referring Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [LBDT] Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation, CVPR [Paper] [arXiv] [Code]

• [MLRL] Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation, CVPR [Paper]

• [YOFO] You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation, AAAI [Paper]

2020

• [URVOS] URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark, ECCV [Paper] [Code]

Other Related Papers

2023

• [RCF] Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping, CVPR [Paper] [arXiv] [Code]

• [VOST] Breaking the “Object” in Video Object Segmentation, CVPR [Paper] [arXiv] [Page]

• [InstMove] InstMove: Instance Motion for Object-centric Video Segmentation, CVPR [Paper] [arXiv] [Code]

• [SSL-VOS] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation, WACV [Paper] [arXiv] [Code]

• [BURST] BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video, WACV [Paper] [arXiv] [Code]

2022

• [EPIC-KITCHENS] EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations, NeurIPS [Paper] [arXiv] [Page]

• [SaVos] Self-supervised Amodal Video Object Segmentation, NeurIPS [Paper] [arXiv]

• [YouMVOS] YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset, CVPR [Paper] [Page]

• [Wnet] Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks, CVPR [Paper] [Code]

2021

• [DUL] Dense Unsupervised Learning for Video Segmentation, NeurIPS [Paper] [arXiv] [Code]

• [AMD] The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos, NeurIPS [Paper] [arXiv] [Code]

• [MotionGroup] Self-supervised Video Object Segmentation by Motion Grouping, ICCV [Paper] [arXiv] [Code]

• [GMB] Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos, ICCV [Paper] [arXiv] [Code]

• [DANet] Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation, CVPR [Paper] [Code]

• [ContrastCorr] Contrastive Transformation for Self-supervised Correspondence Learning, AAAI [Paper] [arXiv] [Code]

• [TAO-VOS] Reducing the Annotation Effort for Video Object Segmentation Datasets, WACV [Paper] [arXiv] [Page]

2020

• [CRW] Space-Time Correspondence as a Contrastive Random Walk, NeurIPS [Paper] [arXiv] [Code]

• [ODMS] Learning Object Depth from Camera Motion and Video Object Segmentation, ECCV [Paper] [arXiv] [Code]

• [MAST] MAST: A Memory-Augmented Self-Supervised Tracker, CVPR [Paper] [arXiv] [Code]

• [MuG] Learning Video Object Segmentation From Unlabeled Videos, CVPR [Paper] [arXiv] [Code]

2019

• [TimeCycle] Learning Correspondence from the Cycle-Consistency of Time, CVPR [Paper] [arXiv] [Code]

• [BubbleNets] BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames, CVPR [Paper] [arXiv] [Code]

Popular Datasets

• [DAVIS] Densely Annotated VIdeo Segmentation Dataset [Page]

• [YouTube-VOS] A Large-Scale Benchmark for Video Object Segmentation Dataset [Page]

• [Long Videos] Long Videos in Real-World Tasks [Page]

• [BL30K] A Large-Scale Synthetic Dataset Based on Blender Engine [Page]

• [FBMS] Freiburg-Berkeley Motion Segmentation Dataset [Page]

• [YouTube-Objects] A Large-Scale Database of Object Videos from YouTube [Page]