Papers Unsupervised Object Localization
“Unsupervised Object Localization” 태그가 달린 논문 12편 · 필터 해제
Enhancing Object Discovery for Unsupervised Instance Segmentation and Object Detection
We propose Cut-Once-and-LEaRn (COLER), a simple approach for unsupervised instance segmentation and object detection. COLER first uses our developed CutOnce to generate coarse pseudo labels, then enables the detector to …
Unsupervised Instance SegmentationUnsupervised Object LocalizationObject SegmentationObject DetectionPEEKABOO: Hiding parts of an image for unsupervised object localization
Localizing objects in an unsupervised manner poses significant challenges due to the absence of key visual information such as the appearance, type and number of objects, as well as the lack of labeled object classes typ…
Objectobject-detectionObject DetectionObject Discovery+4Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey
The recent enthusiasm for open-world vision systems show the high interest of the community to perform perception tasks outside of the closed-vocabulary benchmark setups which have been so popular until now. Being able t…
ObjectObject LocalizationUnsupervised Object LocalizationCLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
The emergence of CLIP has opened the way for open-world image perception. The zero-shot classification capabilities of the model are impressive but are harder to use for dense tasks such as image segmentation. Several me…
Image SegmentationObject LocalizationOpen Vocabulary Semantic SegmentationOpen-Vocabulary Semantic Segmentation+6Unsupervised Object Localization with Representer Point Selection
We propose a novel unsupervised object localization method that allows us to explain the predictions of the model by utilizing self-supervised pre-trained models without additional finetuning. Existing unsupervised and s…
ObjectObject LocalizationUnsupervised Object LocalizationOptical Flow boosts Unsupervised Localization and Segmentation
Unsupervised localization and segmentation are long-standing robot vision challenges that describe the critical ability for an autonomous robot to learn to decompose images into individual objects without labeled data. T…
Lifelong learningObjectObject LocalizationOptical Flow Estimation+4MOST: Multiple Object localization with Self-supervised Transformers for object discovery
We tackle the challenging task of unsupervised object localization in this work. Recently, transformers trained with self-supervised learning have been shown to exhibit object localization properties without being traine…
Objectobject-detectionObject DetectionObject Discovery+5Unsupervised Object Localization: Observing the Background to Discover Objects
Recent advances in self-supervised visual representation learning have paved the way for unsupervised methods tackling tasks such as object discovery and instance segmentation. However, discovering objects in an image wi…
Instance SegmentationObjectObject DiscoveryObject Localization+7DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering
Image segmentation is a fundamental task in computer vision. Data annotation for training supervised methods can be labor-intensive, motivating unsupervised methods. Current approaches often rely on extracting deep featu…
ClusteringGraph Neural NetworkImage SegmentationObject Localization+5Learning from Web Data: the Benefit of Unsupervised Object Localization
Annotating a large number of training images is very time-consuming. In this background, this paper focuses on learning from easy-to-acquire web data and utilizes the learned model for fine-grained image classification i…
Fine-Grained Image ClassificationGeneral Classificationimage-classificationImage Classification+3Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization
In this paper we address the problem of unsupervised localization of objects in single images. Compared to previous state-of-the-art method our method is fully unsupervised in the sense that there is no prior instance le…
DecoderObject LocalizationRegion ProposalUnsupervised Object LocalizationIterative Spectral Clustering for Unsupervised Object Localization
This paper addresses the problem of unsupervised object localization in an image. Unlike previous supervised and weakly supervised algorithms that require bounding box or image level annotations for training classifiers …
ClusteringObjectObject DiscoveryObject Localization+1