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Not all images are worth 16x16 words: Dynamic transformers for efficient image recognition
Abstract Vision Transformers (ViT) have achieved remarkable success in large-scale image
recognition. They split every 2D image into a fixed number of patches, each of which is …
recognition. They split every 2D image into a fixed number of patches, each of which is …
Revisiting weakly supervised pre-training of visual perception models
Abstract Model pre-training is a cornerstone of modern visual recognition systems. Although
fully supervised pre-training on datasets like ImageNet is still the de-facto standard, recent …
fully supervised pre-training on datasets like ImageNet is still the de-facto standard, recent …
Multi-Scale MLP-Mixer for image classification
H Zhang, ZX Dong, B Li, S He - Knowledge-Based Systems, 2022 - Elsevier
MLP-Mixer is a vision architecture that solely relies on multilayer perceptrons (MLPs), which
despite their simple architecture, they achieve a slightly inferior accuracy to the state-of-the …
despite their simple architecture, they achieve a slightly inferior accuracy to the state-of-the …
Better together: Jointly optimizing {ML} collective scheduling and execution planning using {SYNDICATE}
Emerging ML training deployments are trending towards larger models, and hybrid-parallel
training that is not just dominated by compute-intensive all-reduce for gradient aggregation …
training that is not just dominated by compute-intensive all-reduce for gradient aggregation …
Method cards for prescriptive machine-learning transparency
Specialized documentation techniques have been developed to communicate key facts
about machine-learning (ML) systems and the datasets and models they rely on …
about machine-learning (ML) systems and the datasets and models they rely on …
Prescriptive and descriptive approaches to machine-learning transparency
Specialized documentation techniques have been developed to communicate key facts
about machine-learning (ML) systems and the datasets and models they rely on …
about machine-learning (ML) systems and the datasets and models they rely on …
[PDF][PDF] When Large Kernel Meets Vision Transformer: A Solution for SnakeCLEF & FungiCLEF.
LifeCLEF 2022 is an evaluation campaign that is being organized as part of the CLEF
initiative labs. This paper record solutions of two competitions in LifeCLEF 2022, ie …
initiative labs. This paper record solutions of two competitions in LifeCLEF 2022, ie …
Auto-X3D: Ultra-efficient video understanding via finer-grained neural architecture search
Efficient video architecture is the key to the deployment of video action recognition systems
on devices with limited computing capabilities. Unfortunately, existing video architectures …
on devices with limited computing capabilities. Unfortunately, existing video architectures …