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Found 9 papers, 0 papers with code
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Can state-of-the-art NLP models correctly reason over the contexts of such scenarios?
Segment-based Methods for Facial Attribute Detection from Partial Faces
Taking several facial segments and the full face as input, the proposed method takes a data driven approach to determine which attributes are localized in which facial segments.
UPSET and ANGRI : Breaking High Performance Image Classifiers
In this paper, targeted fooling of high performance image classifiers is achieved by developing two novel attack methods.
Partial Face Detection in the Mobile Domain
The three detectors following this approach, namely Facial Segment-based Face Detector (FSFD), SegFace and DeepSegFace, discussed in this paper, perform binary classification on each proposal based on features learned from facial segments.
Pooling Facial Segments to Face: The Shallow and Deep Ends
One promising technique to handle the challenge of partial faces is to design face detectors based on facial segments.
Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results
In this paper, automated user verification techniques for smartphones are investigated.
Deep Feature-based Face Detection on Mobile Devices
We propose a deep feature-based face detector for mobile devices to detect user's face acquired by the front facing camera.
Skin Segmentation based Elastic Bunch Graph Matching for efficient multiple Face Recognition
This paper is aimed at developing and combining different algorithms for face detection and face recognition to generate an efficient mechanism that can detect and recognize the facial regions of input image.
Word Spotting in Cursive Handwritten Documents using Modified Character Shape Codes
This paper applies the technique of word spotting using Modified Character Shape Code to Handwritten English document images for quick and efficient query search of words on a database of document images.
