Sketches are highly expressive, inherently capturing subjective and
fine...
This paper advances the fine-grained sketch-based image retrieval (FG-SB...
In this paper, we leverage CLIP for zero-shot sketch based image retriev...
Human sketch has already proved its worth in various visual understandin...
Given an abstract, deformed, ordinary sketch from untrained amateurs lik...
The main challenge for fine-grained few-shot image classification is to ...
The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) ...
The human visual system is remarkable in learning new visual concepts fr...
Sketching enables many exciting applications, notably, image retrieval. ...
We scrutinise an important observation plaguing scene-level sketch resea...
Zero-shot sketch-based image retrieval typically asks for a trained mode...
We advance sketch research to scenes with the first dataset of freehand ...
Although text recognition has significantly evolved over the years,
stat...
Text recognition remains a fundamental and extensively researched topic ...
Visual text recognition is undoubtedly one of the most extensively resea...
Perceptual organization remains one of the very few established theories...
Handwritten Text Recognition (HTR) remains a challenging problem to date...
Sketch-based image retrieval (SBIR) is a cross-modal matching problem wh...
A fundamental challenge faced by existing Fine-Grained Sketch-Based Imag...
Sketch as an image search query is an ideal alternative to text in captu...
Unsupervised domain adaptation aims to leverage labeled data from a sour...
Binarization of degraded document images is an elementary step in most o...
In this paper, we propose a novel approach of word-level Indic script
id...
In this paper, we bring forth a novel approach of video text detection u...