Textproposals: a text-specific selective search algorithm for word spotting in the wild
Motivated by the success of powerful while expensive techniques to recognize words in a
holistic way (Goel et al., 2013; Almazán et al., 2014; Jaderberg et al., 2016) object proposals …
holistic way (Goel et al., 2013; Almazán et al., 2014; Jaderberg et al., 2016) object proposals …
Sequential optimization for efficient high-quality object proposal generation
We are motivated by the need for a generic object proposal generation algorithm which
achieves good balance between object detection recall, proposal localization quality and …
achieves good balance between object detection recall, proposal localization quality and …
Learning to combine mid-level cues for object proposal generation
In recent years, region proposals have replaced sliding windows in support of object
recognition, offering more discriminating shape and appearance information through …
recognition, offering more discriminating shape and appearance information through …
Saliency and KAZE features assisted object segmentation
In this paper, we propose an unsupervised salient object segmentation approach using
saliency and object features. In the proposed method, we utilize occlusion boundaries to …
saliency and object features. In the proposed method, we utilize occlusion boundaries to …
The middle child problem: Revisiting parametric min-cut and seeds for object proposals
Object proposals have recently fueled the progress in detection performance. These
proposals aim to provide category-agnostic localizations for all objects in an image. One …
proposals aim to provide category-agnostic localizations for all objects in an image. One …
Object proposal generation using two-stage cascade SVMs
Object proposal algorithms have shown great promise as a first step for object recognition
and detection. Good object proposal generation algorithms require high object detection …
and detection. Good object proposal generation algorithms require high object detection …
Contour box: Rejecting object proposals without explicit closed contours
Closed contour is an important objectness indicator. We propose a new measure subject to
the completeness and tightness constraints, where the optimized closed contour should be …
the completeness and tightness constraints, where the optimized closed contour should be …
Adobe boxes: Locating object proposals using object adobes
Despite the previous efforts of object proposals, the detection rates of the existing
approaches are still not satisfactory enough. To address this, we propose Adobe Boxes to …
approaches are still not satisfactory enough. To address this, we propose Adobe Boxes to …
[PDF][PDF] Bing++: A fast high quality object proposal generator at 100fps
We are motivated by the need for an object proposal generation algorithm that achieves a
good balance between proposal localization quality, object recall and computational …
good balance between proposal localization quality, object recall and computational …
Efficient indexing for query by string text retrieval
This paper deals with Query By String word spotting in scene images. A hierarchical text
segmentation algorithm based on text specific selective search is used to find text regions …
segmentation algorithm based on text specific selective search is used to find text regions …