MFC datasets: Large-scale benchmark datasets for media forensic challenge evaluation
H Guan, M Kozak, E Robertson, Y Lee… - 2019 IEEE Winter …, 2019 - ieeexplore.ieee.org
We provide a benchmark for digital Media Forensics Challenge (MFC) evaluations. Our
comprehensive data comprises over 176,000 high provenance (HP) images and 11,000 HP …
comprehensive data comprises over 176,000 high provenance (HP) images and 11,000 HP …
Imagenet: A large-scale hierarchical image database
The explosion of image data on the Internet has the potential to foster more sophisticated
and robust models and algorithms to index, retrieve, organize and interact with images and …
and robust models and algorithms to index, retrieve, organize and interact with images and …
Learning to detect unseen object classes by between-class attribute transfer
CH Lampert, H Nickisch… - 2009 IEEE conference on …, 2009 - ieeexplore.ieee.org
We study the problem of object classification when training and test classes are disjoint, ie
no training examples of the target classes are available. This setup has hardly been studied …
no training examples of the target classes are available. This setup has hardly been studied …
Optimol: automatic online picture collection via incremental model learning
The explosion of the Internet provides us with a tremendous resource of images shared
online. It also confronts vision researchers the problem of finding effective methods to …
online. It also confronts vision researchers the problem of finding effective methods to …
Uncovering shared structures in multiclass classification
This paper suggests a method for multiclass learning with many classes by simultaneously
learning shared characteristics common to the classes, and predictors for the classes in …
learning shared characteristics common to the classes, and predictors for the classes in …
Towards scalable dataset construction: An active learning approach
As computer vision research considers more object categories and greater variation within
object categories, it is clear that larger and more exhaustive datasets are necessary …
object categories, it is clear that larger and more exhaustive datasets are necessary …
Gold-standard for computer-assisted morphological sperm analysis
Abstract Background and Objective: Published algorithms for classification of human sperm
heads are based on relatively small image databases that are not open to the public, and …
heads are based on relatively small image databases that are not open to the public, and …
Learning Adaptive Spatio-Temporal Inference Transformer for Coarse-to-Fine Animal Visual Tracking: Algorithm and Benchmark
Advanced general visual object tracking models have been drastically developed with the
access of large annotated datasets and progressive network architectures. However, a …
access of large annotated datasets and progressive network architectures. However, a …
A shape-based object class model for knowledge transfer
Object class models trained on hundreds or thousands of images have shown to enable
robust detection. Transferring knowledge from such models to new object classes trained …
robust detection. Transferring knowledge from such models to new object classes trained …
Shape-based object localization for descriptive classification
Discriminative tasks, including object categorization and detection, are central components
of high-level computer vision. Sometimes, however, we are interested in more refined …
of high-level computer vision. Sometimes, however, we are interested in more refined …