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Found 12 papers, 5 papers with code
IDD-X: A Multi-View Dataset for Ego-relative Important Object Localization and Explanation in Dense and Unstructured Traffic
Intelligent vehicle systems require a deep understanding of the interplay between road conditions, surrounding entities, and the ego vehicle's driving behavior for safe and efficient navigation.
CueCAn: Cue Driven Contextual Attention For Identifying Missing Traffic Signs on Unconstrained Roads
MTSVD is challenging compared to the previous works in two aspects i) The traffic signs are generally not present in the vicinity of their cues, ii) The traffic signs cues are diverse and unique.
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Along with providing baseline results for existing object detectors on FGVD Dataset, we also present the results of a combination of an existing detector and the recent Hierarchical Residual Network (HRN) classifier for the FGVD task.
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
The service providers encourage the users who provide data where the OCR model fails by rewarding them based on data complexity, readability, and available budget.
Handwritten Text Recognition
Optical Character Recognition (OCR)
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
In many Asian countries with unconstrained road traffic conditions, driving violations such as not wearing helmets and triple-riding are a significant source of fatalities involving motorcycles.
Automatic Quantification and Visualization of Street Trees
We obtain TCDCA of 96. 77% on the test videos, with a remarkable improvement of 22. 58% over baseline, and demonstrate that our counting module's performance is close to human level.
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
Several controlled experiments are performed on English, by varying the number of (i) fonts to create the synthetic data and (ii) created word images.
Transfer Learning for Scene Text Recognition in Indian Languages
WRRs improve over the baselines by 8%, 4%, 5%, and 3% on the MLT-19 Hindi and Bangla datasets and the Gujarati and Tamil datasets.
Multi-Domain Incremental Learning for Semantic Segmentation
Recent efforts in multi-domain learning for semantic segmentation attempt to learn multiple geographical datasets in a universal, joint model.
Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads
Conventional approaches for addressing road safety rely on manual interventions or immobile CCTV infrastructure.
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series
Machine learning-based systems are rapidly gaining popularity and in-line with that there has been a huge research surge in the field of explainability to ensure that machine learning models are reliable, fair, and can be held liable for their decision-making process.
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
The present investigation is carried out for discriminating drought tolerant, and susceptible genotypes.
