Search results with tag "Object localization"
Learning Deep Features for Discriminative Localization
openaccess.thecvf.comWeakly-supervised object localization: There have been a number of recent works exploring weakly-supervised object localization using CNNs [1, 16, 2, 15]. Bergamoetal [1]propose atechniqueforself-taughtobject localization involving masking out image regions to iden-tify the regions causing the maximal activations in order to localize objects.
Learning Deep Features for Discriminative Localization
cnnlocalization.csail.mit.eduWeakly-supervised object localization: There have been a number of recent works exploring weakly-supervised object localization using CNNs [1, 16, 2, 15]. Bergamoetal [1]propose atechniqueforself-taughtobject localization involving masking out image regions to iden-tify the regions causing the maximal activations in order to localize objects.
Learning Deep Features for Discriminative Localization
arxiv.orgWeakly-supervised object localization: There have been a number of recent works exploring weakly-supervised object localization using CNNs [1, 16, 2, 15]. Bergamo et al [1] propose a technique for self-taught object localization involving masking out image regions to iden-tify the regions causing the maximal activations in order to localize ...
1 Object Detection in 20 Years: A Survey - arXiv
arxiv.orgobject detection include but not limited to the following aspects: object rotation and scale changes (e.g., small ob-jects), accurate object localization, dense and occluded object detection, speed up of detection, etc. In Sections 4 and 5, we will give a more detailed analysis of these topics. The rest of this paper is organized as follows. In ...
Generalized Intersection over Union: A Metric and A Loss ...
giou.stanford.edupopular object detection benchmarks such as PASCAL VOC and MS COCO. 1. Introduction Bounding box regression is one of the most fundamental components in many 2D/3D computer vision tasks. Tasks such as object localization, multiple object detection, ob-ject tracking and instance level segmentation rely on ac-curate bounding box regression.
Improved Multiscale Vision Transformers for Classification ...
arxiv.orgVision transformers for object detection tasks [12,55,79, 90] address the challenge of detection typically requiring high-resolution inputs and feature maps for accurate object localization. This significantly increases computation com-plexity due to the quadratic complexity of self-attention oper-ators in transformers [77].