Papers Interactive Video Object Segmentation
“Interactive Video Object Segmentation” 태그가 달린 논문 19편 · 필터 해제
FiVOS: A Fish Segmentation Algorithm Based on Interactive Video Object Segmentation and Filter Enhancement
With the continuous expansion of aquaculture, precise and efficient monitoring of fish behavior has become increasingly critical for improving farming efficiency and reducing economic losses. In particular, with the ongo…
Interactive Video Object SegmentationVideo SegmentationSurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking
Surgical scene understanding demands temporally consistent tracking of instruments and tissues. For clinical use, such tracking should generalize to new centers and procedure types, yet retraining for each of them is cos…
Interactive Video Object SegmentationZero-shot GeneralizationVideo SegmentationCorrespondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild
Large vision models like the Segment Anything Model (SAM) exhibit significant limitations when applied to downstream tasks in the wild. Consequently, reference segmentation, which leverages reference images and their cor…
Interactive Video Object SegmentationTraining-Free Robust Interactive Video Object Segmentation
Interactive video object segmentation is a crucial video task, having various applications from video editing to data annotating. However, current approaches struggle to accurately segment objects across diverse domains.…
Interactive Video Object SegmentationObjectPoint TrackingSegmentation+5Explore Synergistic Interaction Across Frames for Interactive Video Object Segmentation
Interactive Video Object Segmentation (iVOS) is a challenging task that requires real-time human-computer interaction. To improve the user experience, it is important to consider the user's input habits, segmentation qua…
Interactive Video Object SegmentationSemantic SegmentationVideo Object SegmentationVideo Semantic SegmentationSegment Anything Meets Point Tracking
The Segment Anything Model (SAM) has established itself as a powerful zero-shot image segmentation model, enabled by efficient point-centric annotation and prompt-based models. While click and brush interactions are both…
Interactive Video Object SegmentationObjectPoint TrackingSegmentation+4Revisiting Click-based Interactive Video Object Segmentation
While current methods for interactive Video Object Segmentation (iVOS) rely on scribble-based interactions to generate precise object masks, we propose a Click-based interactive Video Object Segmentation (CiVOS) framewor…
Interactive Video Object SegmentationObjectSegmentationSemantic Segmentation+2Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time. First, we design the reliability-based attention module to analyz…
Interactive SegmentationInteractive Video Object SegmentationSegmentationSemantic Segmentation+2Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild
This paper proposes a framework for the interactive video object segmentation (VOS) in the wild where users can choose some frames for annotations iteratively. Then, based on the user annotations, a segmentation algorith…
Deep Reinforcement LearningInteractive Video Object SegmentationVideo Object SegmentationModular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-mask and mask propagation, allowing for higher generalizability and better performance. Trained separately, the interaction module conve…
Interactive Video Object SegmentationSemantic SegmentationSemi-Supervised Video Object SegmentationVideo Object Segmentation+1Fast Interactive Video Object Segmentation with Graph Neural Networks
Pixelwise annotation of image sequences can be very tedious for humans. Interactive video object segmentation aims to utilize automatic methods to speed up the process and reduce the workload of the annotators. Most cont…
Graph Neural NetworkInteractive Video Object SegmentationObjectSemantic Segmentation+2Interactive Video Object Segmentation Using Global and Local Transfer Modules
An interactive video object segmentation algorithm, which takes scribble annotations on query objects as input, is proposed in this paper. We develop a deep neural network, which consists of the annotation network (A-Net…
DecoderInteractive Video Object SegmentationSegmentationSemantic Segmentation+2Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Interactive video object segmentation (iVOS) aims at efficiently harvesting high-quality segmentation masks of the target object in a video with user interactions. Most previous state-of-the-arts tackle the iVOS with two…
Interactive Video Object SegmentationObjectSemantic SegmentationVideo Object Segmentation+1Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
We present a deep learning method for the interactive video object segmentation. Our method is built upon two core operations, interaction and propagation, and each operation is conducted by Convolutional Neural Networks…
Interactive Video Object SegmentationObjectSegmentationSemantic Segmentation+2Video Object Segmentation using Space-Time Memory Networks
We propose a novel solution for semi-supervised video object segmentation. By the nature of the problem, available cues (e.g. video frame(s) with object masks) become richer with the intermediate predictions. However, th…
Interactive Video Object SegmentationObjectOne-shot visual object segmentationSemantic Segmentation+3Interactive Video Object Segmentation in the Wild
In this paper we present our system for human-in-the-loop video object segmentation. The backbone of our system is a method for one-shot video object segmentation. While fast, this method requires an accurate pixel-level…
Image SegmentationInteractive Video Object SegmentationObjectSegmentation+4Click Carving: Segmenting Objects in Video with Point Clicks
We present a novel form of interactive video object segmentation where a few clicks by the user helps the system produce a full spatio-temporal segmentation of the object of interest. Whereas conventional interactive pip…
Interactive Video Object SegmentationObjectSegmentationSemantic Segmentation+2Coherent Parametric Contours for Interactive Video Object Segmentation
Interactive video segmentation systems aim at producing sub-pixel-level object boundaries for visual effect applications. Recent approaches mainly focus on using sparse user input (i.e. scribbles) for efficient segmentat…
Interactive Video Object SegmentationObjectSegmentationSemantic Segmentation+3Gamifying Video Object Segmentation
Video object segmentation can be considered as one of the most challenging computer vision problems. Indeed, so far, no existing solution is able to effectively deal with the peculiarities of real-world videos, especiall…
Interactive Video Object SegmentationObjectSegmentationSemantic Segmentation+2