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Video Object Segmentation Tasks, Datasets, and Methods
This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with...
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UPVIS: upsampled video query for offline video instance segmentation
This paper presents a new approach for offline video instance segmentation (VIS) by integrating upsampling layers into the Transformer decoder....
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Pose-aware video action segmentation
Action segmentation is an emerging task in video understanding, particularly for untrimmed videos containing multiple actions. However, existing...
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Adaptive video supervoxel segmentation via energy-guided bottom-up clustering
Video supervoxel segmentation is a critical technique in computer vision, facilitating accurate object segmentation and boundary detection in video...
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OV-VIS: Open-Vocabulary Video Instance Segmentation
Conventionally, the goal of Video Instance Segmentation (VIS) is to segment and categorize objects in videos from a closed set of training...
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Semi-supervised one-shot learning for video object segmentation in dynamic environments
Object segmentation is a fundamental research area within the computer vision community. Video object segmentation in dynamic environments presents...
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Few-shot video object segmentation with prototype evolution
As a challenging task, few-shot video object segmentation attempts to segment objects of novel categories in the video while providing only a few...
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CSMB-VSS: video scene segmentation with cosine similarity matrix
Video scene segmentation is a crucial step in video structural analysis, which divides a long video into discrete scenes, each consisting of a series...
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Real-Time Video Segmentation by Means of Finite GMMs and Background Subtraction
In unsupervised clustering of non-stationary data, adaptive Gaussian Mixture Models (GMMs) are commonly used. This is especially true for real-time...
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Towards imbalanced motion: part-decoupling network for video portrait segmentation
Video portrait segmentation (VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent...
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Temporal Transductive Inference for Few-Shot Video Object Segmentation
Few-shot video object segmentation (FS-VOS) aims at segmenting video frames using a few labelled examples of classes not seen during initial...
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Motion perception-driven multimodal self-supervised video object segmentation
Unsupervised video object segmentation segments foreground objects from videos without annotations. However, existing methods rely mainly on a single...
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Unsupervised video object segmentation with mask transformer: boosting accuracy and efficiency through feature fusion
This paper introduces a novel Mask Transformer framework for unsupervised video object segmentation, focusing on enhancing segmentation accuracy and...
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Boundary-sensitive denoised temporal reasoning network for video action segmentation
Video action segmentation is still challenging since existing models confuse similar actions and actional transition regions, leading to incorrect...
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Video Instance Segmentation in an Open-World
Existing video instance segmentation (VIS) approaches generally follow a closed-world assumption, where only seen category instances are identified...
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Kernel based local matching network for video object segmentation
Recently, the methods based on space-time memory network have achieved advanced performance in semi-supervised video object segmentation, which has...
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Saliency-based dual-attention network for unsupervised video object segmentation
This paper solves the task of unsupervised video object segmentation (UVOS) that segments the objects of interest through the entire videos without...
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Key points trajectory and multi-level depth distinction based refinement for video mirror and glass segmentation
Mirror and glass are ubiquitous materials in the 3D indoor living environment. However, the existing vision system always tends to neglect or...
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Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation
Static and moving objects often occur in real-life videos. Most video object segmentation methods only focus on extracting and exploiting motion cues...
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General and Task-Oriented Video Segmentation
We present GvSeg, a general video segmentation framework for addressing four different video segmentation tasks (i.e., instance, semantic, panoptic,...