Proceedings ArticleDOI
Transfer Learning Based Evolutionary Algorithm for Composite Face Sketch Recognition
Tarang Chugh,Maneet Singh,Shruti Nagpal,Richa Singh,Mayank Vatsa +4 more
- pp 619-627
TLDR
Experimental evaluation and analysis on the proposed dataset show the effectiveness of the transfer learning approach for performing cross-modality recognition.Abstract:
Matching facial sketches to digital face images has widespread application in law enforcement scenarios. Recent advancements in technology have led to the availability of sketch generation tools, minimizing the requirement of a sketch artist. While these sketches have helped in manual authentication, matching composite sketches with digital mugshot photos automatically show high modality gap. This research aims to address the task of matching a composite face sketch image to digital images by proposing a transfer learning based evolutionary algorithm. A new feature descriptor, Histogram of Image Moments, has also been presented for encoding features across modalities. Moreover, IIITD Composite Face Sketch Database of 150 subjects is presented to fill the gap due to limited availability of databases in this problem domain. Experimental evaluation and analysis on the proposed dataset show the effectiveness of the transfer learning approach for performing cross-modality recognition.read more
Citations
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Journal ArticleDOI
Forensic Face Photo-Sketch Recognition Using a Deep Learning-Based Architecture
TL;DR: The proposed framework is shown to reduce the error rate by 80.7% for viewed sketches and lowers the mean retrieval rank by 32.5% for real-world forensic sketches.
Journal ArticleDOI
Classical and modern face recognition approaches: a complete review
TL;DR: The prime objective of this research is to sum-up recent face recognition techniques and develop a broad understanding of how these techniques behave on different datasets and present future aspects of face recognition technologies and its potential significance in the upcoming digital society.
Proceedings ArticleDOI
Face Sketch Matching via Coupled Deep Transform Learning
TL;DR: DeepTransformer as mentioned in this paper learns a transformation and mapping function between the features of two domains, which can be applied with any existing learned or hand-crafted feature and can be used for sketch-to-sketch matching.
Proceedings ArticleDOI
Improving Face Sketch Recognition via Adversarial Sketch-Photo Transformation
TL;DR: A novel conditional CycleGAN is proposed for face sketch-to-photo transformation and is able to generate realistic photos from sketches, and the generated photos are instrumental in improving the sketch identification accuracy against a large gallery set of mugshot photos.
Posted Content
Apollo: Transferable Architecture Exploration
Albin Jones,Amir Yazdanbakhsh,Berkin Akin,Christof Angermueller,James Laudon,Kevin Swersky,Milad Hashemi,Ravi Narayanaswami,Sat Chatterjee,Yanqi Zhou +9 more
TL;DR: This work proposes a transferable architecture exploration framework, dubbed APOLLO, that leverages recent advances in black-box function optimization for sample-efficient accelerator design and uses this framework to optimize accelerator configurations of a diverse set of neural architectures with alternative design constraints.
References
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Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
TL;DR: It is shown experimentally that grids of histograms of oriented gradient (HOG) descriptors significantly outperform existing feature sets for human detection, and the influence of each stage of the computation on performance is studied.
Journal ArticleDOI
A Survey on Transfer Learning
Sinno Jialin Pan,Qiang Yang +1 more
TL;DR: The relationship between transfer learning and other related machine learning techniques such as domain adaptation, multitask learning and sample selection bias, as well as covariate shift are discussed.
Journal ArticleDOI
Robust Real-Time Face Detection
Paul A. Viola,Michael Jones +1 more
TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Proceedings ArticleDOI
Robust real-time face detection
Paul A. Viola,Michael Jones +1 more
TL;DR: A new image representation called the “Integral Image” is introduced which allows the features used by the detector to be computed very quickly and a method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions.
Journal ArticleDOI
Visual pattern recognition by moment invariants
TL;DR: It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.