Are vision transformers always more robust than convolutional neural networks?

Are vision transformers always more robust than convolutional neural networks?

Bibliográfalaš dieđut
Váldodahkkit:	Pinto, F, Torr, P, Dokania, PK
Materiálatiipa:	Conference item
Giella:	English
Almmustuhtton:	NeurIPS 2021

Geahča maid

An impartial take to the CNN vs transformer robustness contest
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Adversarial Robustness of Vision Transformers Versus Convolutional Neural Networks
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Mix-MaxEnt: improving accuracy and uncertainty estimates of deterministic neural networks
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Mirror Descent view for Neural Network quantization
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Using mixup as a regularizer can surprisingly improve accuracy and out-of-distribution robustness
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Progressive skeletonization: trimming more fat from a network at initialization
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On using focal loss for neural network calibration
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Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks
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Calibrating deep neural networks using focal loss
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Leaf condition analysis using convolutional neural network and vision transformer
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Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer
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Stable rank normalization for improved generalization in neural networks and GANs
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ROBUST VISION
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Almmustuhtton: (1994)

Proximal mean-field for neural network quantization
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Design of an Always-On Image Sensor Using an Analog Lightweight Convolutional Neural Network
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“Drawing has always been more than drawing”: Derrida and disegno
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Evaluating Convolutional Neural Networks and Vision Transformers for Baby Cry Sound Analysis
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Visual dialogue without vision or dialogue
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More than a whistle: Automated detection of marine sound sources with a convolutional neural network
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Exploring Vision Transformers and Convolution Neural Networks for the Thermal Image Classification of Volcanic Activity
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Comprehensive comparison between vision transformers and convolutional neural networks for face recognition tasks
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CVTrack: Combined Convolutional Neural Network and Vision Transformer Fusion Model for Visual Tracking
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Multispectral Plant Disease Detection with Vision Transformer–Convolutional Neural Network Hybrid Approaches
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Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer
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Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review
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Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes
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A Robust Fire Detection Model via Convolution Neural Networks for Intelligent Robot Vision Sensing
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Efficient knowledge distillation for hybrid models: A vision transformer‐convolutional neural network to convolutional neural network approach for classifying remote sensing images
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Comparative analysis of vision transformers and conventional convolutional neural networks in detecting referable diabetic retinopathy
Dahkki: Goh, Jocelyn Hui Lin, et al.
Almmustuhtton: (2024)

Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers
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A Comparative Study of Vision Transformer and Convolutional Neural Network Models in Geological Fault Detection
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Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy
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Optimizing Strawberry Disease and Quality Detection with Vision Transformers and Attention-Based Convolutional Neural Networks
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Skin Lesion Segmentation Based on Vision Transformers and Convolutional Neural Networks—A Comparative Study
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Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?
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Almmustuhtton: (2023-01-01)

A forest fire smoke detection model combining convolutional neural network and vision transformer
Dahkki: Ying Zheng, et al.
Almmustuhtton: (2023-04-01)

A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection
Dahkki: Saad I. Nafisah, et al.
Almmustuhtton: (2023-03-01)

Gait-CNN-ViT: Multi-Model Gait Recognition with Convolutional Neural Networks and Vision Transformer
Dahkki: Jashila Nair Mogan, et al.
Almmustuhtton: (2023-04-01)

A Lightweight Face Detector via Bi-Stream Convolutional Neural Network and Vision Transformer
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Sample-dependent adaptive temperature scaling for improved calibration
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Almmustuhtton: (2023)