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Found 11 papers, 3 papers with code
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
Analyzing model performance in various unseen environments is a critical research problem in the machine learning community.
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
In this paper, we detail the settings of Alice benchmarks, provide an analysis of existing commonly-used domain adaptation methods, and discuss some interesting future directions.
Circular Clustering with Polar Coordinate Reconstruction
In summary, our proposed analysis framework overcomes the limitations of existing polar coordinate-based clustering methods and provides a more accurate and efficient way to cluster circular data.
Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers
We find that the ViT performance is improved in accuracy and number of training epochs when using JSF and FAX.
Label-Free Model Evaluation with Semi-Structured Dataset Representations
In the absence of image labels, based on dataset representations, we estimate model performance for AutoEval with regression.
Ranking Models in Unlabeled New Environments
For this problem, we propose to adopt a proxy dataset that 1) is fully labeled and 2) well reflects the true model rankings in a given target environment, and use the performance rankings on the proxy sets as surrogates.
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
The divide-and-conquer method has been widely used for estimating large-scale kernel ridge regression estimates.
Image Recognition of Tea Leaf Diseases Based on Convolutional Neural Network
In order to identify and prevent tea leaf diseases effectively, convolution neural network (CNN) was used to realize the image recognition of tea disease leaves.
Learning from Web Data: the Benefit of Unsupervised Object Localization
In this work, we first systematically study the built-in gap between the web and standard datasets, i. e. different data distributions between the two kinds of data.
Dissecting Person Re-identification from the Viewpoint of Viewpoint
Second, on the 3D data engine, we quantitatively analyze the influence of pedestrian rotation angle on re-ID accuracy.
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria
Accordingly, we design six medical representations considering different criteria for the recognition of skin lesions, and construct a diagnosis system for clinical skin disease images.
