Video Semantic Segmentation

314 papers with code • 5 benchmarks • 8 datasets

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Libraries

Use these libraries to find Video Semantic Segmentation models and implementations

Latest papers with no code

Annolid: Annotate, Segment, and Track Anything You Need

no code yet • 27 Mar 2024

Annolid is a deep learning-based software package designed for the segmentation, labeling, and tracking of research targets within video files, focusing primarily on animal behavior analysis.

OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework

no code yet • 13 Mar 2024

Contemporary Video Object Segmentation (VOS) approaches typically consist stages of feature extraction, matching, memory management, and multiple objects aggregation.

Real-time Surgical Instrument Segmentation in Video Using Point Tracking and Segment Anything

no code yet • 12 Mar 2024

Inspired by this progress, we present a novel framework that combines an online point tracker with a lightweight SAM model that is fine-tuned for surgical instrument segmentation.

ClickVOS: Click Video Object Segmentation

no code yet • 10 Mar 2024

To address these limitations, we propose the setting named Click Video Object Segmentation (ClickVOS) which segments objects of interest across the whole video according to a single click per object in the first frame.

Depth-aware Test-Time Training for Zero-shot Video Object Segmentation

no code yet • 7 Mar 2024

In this work, we introduce a test-time training (TTT) strategy to address the problem.

Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation

no code yet • 5 Mar 2024

Using optical flow to estimate the movement between consecutive frames, we can shift the prior term in the moving-average calculation to align with the geometry of the current frame.

Deep Common Feature Mining for Efficient Video Semantic Segmentation

no code yet • 5 Mar 2024

Recent advancements in video semantic segmentation have made substantial progress by exploiting temporal correlations.

Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation

no code yet • 14 Feb 2024

Then we render the output of optical flow net to a fully convolutional SegNet model.

Point-VOS: Pointing Up Video Object Segmentation

no code yet • 8 Feb 2024

We propose a novel Point-VOS task with a spatio-temporally sparse point-wise annotation scheme that substantially reduces the annotation effort.

Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound

no code yet • 7 Feb 2024

Breast lesion segmentation from breast ultrasound (BUS) videos could assist in early diagnosis and treatment.