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Image de-photobombing benchmark
Removing photobombing elements from images is a challenging task that requires sophisticated image inpainting techniques. Despite the availability of...
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Benchmark Datasets
This chapter introduces benchmark datasets in the field of fine-grained image recognition and fine-grained image retrieval by summarizing their own...
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Benchmark: Neural Network Malware Classification
As malware threats continue to increase in both complexity and sophistication, the adoption of advanced detection methods, such as deep neural...
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The Concurrent Calculi Formalisation Benchmark
POPLMark and POPLMark Reloaded sparked a flurry of work on machine-checked proofs, and fostered the adoption of proof mechanisation in programming...
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Bugs in machine learning-based systems: a faultload benchmark
The rapid escalation of applying Machine Learning (ML) in various domains has led to paying more attention to the quality of ML components. There is...
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Towards a Benchmark for Scientific Understanding in Humans and Machines
Scientific understanding is a fundamental goal of science. However, there is currently no good way to measure the scientific understanding of agents,...
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WATB: Wild Animal Tracking Benchmark
With the development of computer vision technology, many advanced computer vision methods have been successfully applied to animal detection,...
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Performance benchmark of deep learning human pose estimation for UAVs
Human pose estimation (HPE) is a computer vision application that estimates human body joints from images. It gives machines the capability to better...
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Towards Robust Monocular Depth Estimation: A New Baseline and Benchmark
Before deploying a monocular depth estimation (MDE) model in real-world applications such as autonomous driving, it is critical to understand its...
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BioDrone: A Bionic Drone-Based Single Object Tracking Benchmark for Robust Vision
Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented...
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Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
Recent 3D registration methods are mostly learning-based that either find correspondences in feature space and match them, or directly estimate the...
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Towards a Benchmark for Shared Databases [Vision Paper]
Traditionally, data has been held in silos and was rarely shared with other organizations. However, recently data sharing across organizations is...
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Topology optimization of a benchmark artifact with target stress states using evolutionary algorithms
Additive manufacturing enables extended freedom in designing structural components. In order to reduce manufacturing costs, the product quality has...
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Exert Diversity and Mitigate Bias: Domain Generalizable Person Re-identification with a Comprehensive Benchmark
Person re-identification (ReID), aiming at retrieving persons of the same identity across non-overlapping cameras, holds immense practical...
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Multi-attribute object detection benchmark for smart city
Object detection is an algorithm that recognizes and locates the objects in the image and has a wide range of applications in the visual...
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An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification
Person re-identification (ReID) has made great strides thanks to the data-driven deep learning techniques. However, the existing benchmark datasets...
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Identifying benchmark units for research management and evaluation
While normalized bibliometric indicators are expected to resolve the subject-field differences between organizations in research evaluations, the...
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A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems
The temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors in thermal management plays an important role...
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DATE: a video dataset and benchmark for dynamic hand gesture recognition
This paper proposes a new Dynamic hAnd gesTurE (DATE) dataset for dynamic hand gestures. The DATE dataset contains 13,500 videos of 22 different...
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BEExAI: Benchmark to Evaluate Explainable AI
Recent research in explainability has given rise to numerous post-hoc attribution methods aimed at enhancing our comprehension of the outputs of...
