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Papers Object Discovery In Videos

“Object Discovery In Videos” 태그가 달린 논문 6편 · 필터 해제

FODVid: Flow-guided Object Discovery in Videos

2023-07-10 · Silky Singh, Shripad Deshmukh, Mausoom Sarkar, Rishabh Jain 외

Segmentation of objects in a video is challenging due to the nuances such as motion blurring, parallax, occlusions, changes in illumination, etc. Instead of addressing these nuances separately, we focus on building a gen…

ObjectObject DiscoveryObject Discovery In VideosSegmentation+3

Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

2022-11-24 · Floriana Ciaglia, Francesco Saverio Zuppichini, Paul Guerrie, Mark McQuade 외

The evaluation of object detection models is usually performed by optimizing a single metric, e.g. mAP, on a fixed set of datasets, e.g. Microsoft COCO and Pascal VOC. Due to image retrieval and annotation costs, these d…

2D Object DetectionImage RetrievalMedical Object DetectionMulti-Object Tracking+14

Motion-inductive Self-supervised Object Discovery in Videos

2022-10-01 · Shuangrui Ding, Weidi Xie, Yabo Chen, Rui Qian 외

In this paper, we consider the task of unsupervised object discovery in videos. Previous works have shown promising results via processing optical flows to segment objects. However, taking flow as input brings about two …

ObjectObject DiscoveryObject Discovery In VideosOptical Flow Estimation+3

Self-Supervision by Prediction for Object Discovery in Videos

2021-03-09 · Beril Besbinar, Pascal Frossard

Despite their irresistible success, deep learning algorithms still heavily rely on annotated data. On the other hand, unsupervised settings pose many challenges, especially about determining the right inductive bias in d…

Inductive BiasObjectObject DiscoveryObject Discovery In Videos+3

Object Discovery in Videos as Foreground Motion Clustering

2018-12-06 · CVPR 2019 6 · Christopher Xie, Yu Xiang, Zaid Harchaoui, Dieter Fox

We consider the problem of providing dense segmentation masks for object discovery in videos. We formulate the object discovery problem as foreground motion clustering, where the goal is to cluster foreground pixels in v…

ClusteringMotion SegmentationObjectObject Discovery+2

Unsupervised learning of foreground object detection

2018-08-14 · Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu

Unsupervised learning poses one of the most difficult challenges in computer vision today. The task has an immense practical value with many applications in artificial intelligence and emerging technologies, as large qua…

Image SegmentationObjectobject-detectionObject Detection+5
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