A list of video object segmentation (VOS) papers published after 2019. Previous works can be found at here.
1. [WACV 2019] TIS: "Tukey-Inspired Video Object Segmentation" [Paper] [arXiv] [Code]
2. [CVPR 2019] MHP-VOS: "Multiple Hypotheses Propagation for Video Object Segmentation" [Paper] [arXiv] [Code]
3. [CVPR 2019] STCNN: "Spatiotemporal CNN for Video Object Segmentation" [Paper] [arXiv] [Code]
4. [CVPR 2019] RVOS: "End-To-End Recurrent Network for Video Object Segmentation" [Paper] [arXiv] [Code]
5. [CVPR 2019] BubbleNets: "Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames" [Paper] [arXiv] [Code]
6. [CVPR 2019] A-GAME: "A Generative Appearance Model for End-To-End Video Object Segmentation" [Paper] [arXiv] [Code]
7. [CVPR 2019] FEELVOS: "Fast End-To-End Embedding Learning for Video Object Segmentation" [Paper] [arXiv] [Code]
8. [ICCV 2019] DMM-Net: "Differentiable Mask-Matching Network for Video Object Segmentation" [Paper] [arXiv] [Code]
9. [ICCV 2019] AGSS-VOS: "Attention Guided Single-Shot Video Object Segmentation" [Paper] [Code]
10. [ICCV 2019] RANet: "Ranking Attention Network for Fast Video Object Segmentation" [Paper] [arXiv] [Code]
11. [ICCV 2019] DTN: "Fast Video Object Segmentation via Dynamic Targeting Network" [Paper]
12. [ICCV 2019] CapsuleVOS: "Semi-Supervised Video Object Segmentation Using Capsule Routing" [Paper] [arXiv] [Code]
13. [ICCV 2019] STM: "Video Object Segmentation Using Space-Time Memory Networks" [Paper] [arXiv] [Code]
14: [WACV 2020] DIPNet: "Dynamic Identity Propagation Network for Video Object Segmentation" [Paper]
15: [CVPR 2020] SAT: "State-Aware Tracker for Real-Time Video Object Segmentation" [Paper] [arXiv] [Code]
16: [CVPR 2020] FRTM: "Learning Fast and Robust Target Models for Video Object Segmentation" [Paper] [arXiv] [Code]
17: [CVPR 2020] TVOS: "A Transductive Approach for Video Object Segmentation" [Paper] [arXiv] [Code]
18: [CVPR 2020] TAN-DTTM: "Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching" [Paper] [arXiv]
19: [CVPR 2020] MuG: "Learning Video Object Segmentation From Unlabeled Videos" [Paper] [arXiv] [Code]
20: [ECCV 2020] LWL: "Learning What to Learn for Video Object Segmentation" [Paper] [arXiv] [Code]
21: [ECCV 2020] EGMN: "Video Object Segmentation with Episodic Graph Memory Networks" [Paper] [arXiv] [Code]
22: [ECCV 2020] CFBI: "Collaborative Video Object Segmentation by Foreground-Background Integration" [Paper] [arXiv] [Code]
23: [ECCV 2020] GC: "Fast Video Object Segmentation using the Global Context Module" [Paper] [arXiv]
24: [ECCV 2020] KMN: "Kernelized Memory Network for Video Object Segmentation" [Paper] [arXiv] [Code]
25: [NeurIPS 2020] STM-cycle: "Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation" [Paper] [arXiv] [Code]
26: [NeurIPS 2020] AFB-URR: "Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement" [Paper] [arXiv] [Code]
27: [NeurIPS 2020] e-OSVOS: "Make One-Shot Video Object Segmentation Efficient Again" [Paper] [arXiv] [Code]
28: [WACV 2021] TAO-VOS: "Reducing the Annotation Effort for Video Object Segmentation Datasets" [Paper] [arXiv] [Link]
29: [AAAI 2021] STG-Net: "Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object Segmentation" [arXiv]
30: [CVPR 2021] RMNet: "Efficient Regional Memory Network for Video Object Segmentation" [Paper] [arXiv] [Code]
31: [CVPR 2021] LCM: "Learning Position and Target Consistency for Memory-Based Video Object Segmentation" [Paper] [arXiv]
32: [CVPR 2021] GIEL: "Video Object Segmentation Using Global and Instance Embedding Learning" [Paper]
33: [CVPR 2021] SwiftNet: "Real-time Video Object Segmentation" [Paper] [arXiv] [Code]
34: [CVPR 2021] SSTVOS: "Sparse Spatiotemporal Transformers for Video Object Segmentation" [Paper] [arXiv] [Code]
35: [CVPR 2021] Reuse-VOS: "Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation" [Paper] [arXiv] [Code]
36: [ICCV 2021] JOINT: "Joint Inductive and Transductive Learning for Video Object Segmentation" [Paper] [arXiv] [Code]
37: [ICCV 2021] HMMN: "Hierarchical Memory Matching Network for Video Object Segmentation" [Paper] [arXiv] [Code]
38: [ICCV 2021] DMN-AOA: "Video Object Segmentation with Dynamic Memory Networks and Adaptive Object Alignment" [Paper] [Code]
39: [NeurIPS 2021] AOT: "Associating Objects with Transformers for Video Object Segmentation" [Paper] [arXiv] [Code]
40: [NeurIPS 2021] STCN: "Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation" [Paper] [arXiv] [Code]
41: [WACV 2022] BMVOS: "Pixel-Level Bijective Matching for Video Object Segmentation" [Paper] [arXiv] [Code]
42: [AAAI 2022] RPCMVOS: "Reliable Propagation-Correction Modulation for Video Object Segmentation" [arXiv] [Code]
1: [CVPR 2019] AGS: "Learning Unsupervised Video Object Segmentation Through Visual Attention" [Paper] [Code]
2: [CVPR 2019] COSNet: "See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks" [Paper] [arXiv] [Code]
3: [ICCV 2019] AD-Net: "Anchor Diffusion for Unsupervised Video Object Segmentation" [Paper] [arXiv] [Code]
4: [ICCV 2019] AGNN: "Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks" [Paper] [arXiv] [Code]
5: [WACV 2020] UnOVOST: "Unsupervised Offline Video Object Segmentation and Tracking" [Paper] [arXiv] [Code]
6: [ECCV 2020] WCS-Net: "Unsupervised Video Object Segmentation with Joint Hotspot Tracking" [Paper]
7: [ECCV 2020] DFNet: "Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation" [Paper] [arXiv]
8: [WACV 2021] SelectorNet: "Mask Selection and Propagation for Unsupervised Video Object Segmentation" [Paper] [Code]
9: [AAAI 2021] F2Net: "Learning to Focus on the Foreground for Unsupervised Video Object Segmentation" [Paper] [arXiv]
10: [CVPR 2021] RTNet: "Reciprocal Transformations for Unsupervised Video Object Segmentation" [Paper] [Code]
11: [ICCV 2021] FSNet: "Full-Duplex Strategy for Video Object Segmentation" [Paper] [arXiv] [Code]
12: [ICCV 2021] TransportNet: "Deep Transport Network for Unsupervised Video Object Segmentation" [Paper]
13: [ICCV 2021] AMC-Net: "Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation" [Paper] [Code]
14: [NeurIPS 2021] AMD: "The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos" [Paper] [arXiv] [Code]
15: [WACV 2022] D^2Conv3D: "Dynamic Dilated Convolutions for Object Segmentation in Videos" [Paper] [arXiv] [Code]
16: [AAAI 2022] IMP: "Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier" [arXiv]
1: [CVPR 2019] IPNet: "Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks" [Paper] [arXiv] [Code]
2: [CVPR 2020] MA-Net: "Memory Aggregation Networks for Efficient Interactive Video Object Segmentation" [Paper] [arXiv]
3: [ECCV 2020] ScribbleBox: "Interactive Annotation Framework for Video Object Segmentation" [Paper] [arXiv] [Link]
4: [ECCV 2020] ATNet: "Interactive Video Object Segmentation Using Global and Local Transfer Modules" [Paper] [arXiv] [Code]
5: [CVPR 2021] IVOS-W: "Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild" [Paper] [arXiv] [Code]
6: [CVPR 2021] GIS: "Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps" [Paper] [arXiv] [Code]
7: [CVPR 2021] MiVOS: "Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion" [Paper] [arXiv] [Code]
1: [CVPR 2019] SiamMask: "Fast Online Object Tracking and Segmentation: A Unifying Approach" [Paper] [arXiv] [Code]
2: [CVPR 2020] FTMU: "Fast Template Matching and Update for Video Object Tracking and Segmentation" [Paper] [arXiv] [Code]
3: [AAAI 2021] QMRA: "Query-Memory Re-Aggregation for Weakly-Supervised Video Object Segmentation" [Paper]
1: [ECCV 2020] URVOS: "Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark" [Paper] [Code]
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