One-shot visual object segmentation
2개 벤치마크 · 논문 41편 · 이 태스크의 논문 보기 →
Benchmarks
YouTube-VOS 2018
YouTube-VOS
Most implemented
PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation
Make One-Shot Video Object Segmentation Efficient Again
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
Video Object Segmentation using Space-Time Memory Networks
Associating Objects with Transformers for Video Object Segmentation
Learning What to Learn for Video Object Segmentation
Papers
Associating Objects with Transformers for Video Object Segmentation
This paper investigates how to realize better and more efficient embedding learning to tackle the semi-supervised video object segmentation under challenging multi-object scenarios. The state-of-the-art methods learn to …
ObjectOne-shot visual object segmentationSemantic SegmentationSemi-Supervised Video Object Segmentation+3Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims to segment video objects with the guidance of natural language reference. Previous methods typically tackle RVOS through directly grounding linguistic reference over the im…
ObjectOne-shot visual object segmentationReferring Video Object SegmentationSemantic Segmentation+2TransVOS: Video Object Segmentation with Transformers
Recently, Space-Time Memory Network (STM) based methods have achieved state-of-the-art performance in semi-supervised video object segmentation (VOS). A crucial problem in this task is how to model the dependency both am…
ObjectOne-shot visual object segmentationSegmentationSemantic Segmentation+3Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation
Current state-of-the-art object detection and segmentation methods work well under the closed-world assumption. This closed-world setting assumes that the list of object categories is available during training and deploy…
Objectobject-detectionObject DetectionObject Tracking+4Learning Position and Target Consistency for Memory-based Video Object Segmentation
This paper studies the problem of semi-supervised video object segmentation(VOS). Multiple works have shown that memory-based approaches can be effective for video object segmentation. They are mostly based on pixel-leve…
ObjectOne-shot visual object segmentationPositionSegmentation+4Efficient Regional Memory Network for Video Object Segmentation
Recently, several Space-Time Memory based networks have shown that the object cues (e.g. video frames as well as the segmented object masks) from the past frames are useful for segmenting objects in the current frame. Ho…
ObjectOne-shot visual object segmentationOptical Flow EstimationSemantic Segmentation+3