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Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
In many real-world problems, there is typically a large discrepancy betw...
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A Deep Dive into Adversarial Robustness in Zero-Shot Learning
Machine learning (ML) systems have introduced significant advances in va...
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Key Protected Classification for Collaborative Learning
Large-scale datasets play a fundamental role in training deep learning m...
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Image Captioning with Unseen Objects
Image caption generation is a long standing and challenging problem at t...
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Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?
We introduce the problem of zero-shot sign language recognition (ZSSLR),...
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Learning Visually Consistent Label Embeddings for Zero-Shot Learning
In this work, we propose a zero-shot learning method to effectively mode...
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Cross-task weakly supervised learning from instructional videos
In this paper we investigate learning visual models for the steps of ord...
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Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery
Fine-grained object recognition concerns the identification of the type ...
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Wildest Faces: Face Detection and Recognition in Violent Settings
With the introduction of large-scale datasets and deep learning models c...
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Zero-Shot Object Detection by Hybrid Region Embedding
Object detection is considered as one of the most challenging problems i...
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Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery
Fine-grained object recognition that aims to identify the type of an obj...
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Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning
We propose a novel approach for unsupervised zero-shot learning (ZSL) of...
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Approximate Fisher Kernels of non-iid Image Models for Image Categorization
The bag-of-words (BoW) model treats images as sets of local descriptors ...
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Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
Object category localization is a challenging problem in computer vision...
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