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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "A downsampling strategy t" (30 stories)

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LiDAR point cloud down-sampling strategy with multi-dimensional membership fusion
Lead StoryFrontiersgeneral
Feb 4

LiDAR point cloud down-sampling strategy with multi-dimensional membership fusion

<a href="https://news.google.com/rss/articles/CBMijAFBVV95cUxPVXJTXzlsT3FOeXFfbDQwaHdGZ3Y2a0dlRXhCZm1xaUdIQW9KY1R6d1FBeUpnY01DRVFjY2lLQ1p0VE1ERkZ4VHNCdU95MHh0d29RZ1VKWWxjNVc3RmJLcGRPR3JzSnVqZ3JTbTd2c1NoQmZjdkhSekRmRE5fSWFFa19TUlE0OEUzdlJZbw?oc=5" target="_blank">LiDAR point cloud down-sampling strategy with multi-dimensional membership fusion</a>  <font color="#6f6f6f">Frontiers</font>

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Search Results for "A downsampling strategy t"

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29 stories displayed
Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy
Natureworld

Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9qQjhOcWRHajVxRG5La0dmaC1WNVFFY3BBakNDTjVZUl9NWWJZYlA0VjJEaG8yZmIwT3g0VHp3VG5WZG9oelhEZi1DUnNvM1dGaEdBWEhKQ0U0dUlxbmE4?oc=5" target="_blank">Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy</a>  <font color="#6f6f6f">Nature</font>

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Accelerating Vortex Particle Methods by Downsampling the Vorticity Field Representation
Wiley Online Librarygeneral

Accelerating Vortex Particle Methods by Downsampling the Vorticity Field Representation

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTFBYcjBUUTU1VzFvV2hQQVhUd0ozclA5dVNKUWRhZnVWVmo1cGVIa0kxdEoxYmh5dmk5SlRwY1l6alJfSFQtdlRnZ1RLRnNsTmJRYkMzT0ZoazFMVVJJQlFCREhlMmNKalhEQ2c?oc=5" target="_blank">Accelerating Vortex Particle Methods by Downsampling the Vorticity Field Representation</a>  <font color="#6f6f6f">Wiley Online Library</font>

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AutoFocusFormer: Image Segmentation off the Grid
Apple Machine Learning Researchgeneral

AutoFocusFormer: Image Segmentation off the Grid

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE5yVXZpVklBZUJ0VlVRYjRWQlR6ZFp0STkxa3BJQjhlc0p2NlhSdmFacEx6azhNMXFhMExTYW1HUXl1S29pYVJIRXJjN1hRVXFWZkZvY2duZmJldzZDcE14b3VUVWItblkzS0E?oc=5" target="_blank">AutoFocusFormer: Image Segmentation off the Grid</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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A downsampling strategy to assess the predictive value of radiomic features | Scientific Reports
Naturegeneral

A downsampling strategy to assess the predictive value of radiomic features | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15UkFycnFCeHRTQjFwR0Z2cktRZnJ2UjEwa1l5Z2RVZHd1TkczMWF4bWxvQUZHb0s2NjdzUFl0N3ZuLU5DOHptVDRva2ZrbkJmUHFvajMtRUx4MWJCSnE0?oc=5" target="_blank">A downsampling strategy to assess the predictive value of radiomic features | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
alphaXivgeneral

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE84bHFabTZSVUhKdkFaTVRRVTFMdzNzbnlndFQzbDFUUGZXWHFHblFHcFlaLXZfVWR3cFR0M1VZYmtyMFUzZlRBWUNKeTFRMS1i?oc=5" target="_blank">BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation</a>  <font color="#6f6f6f">alphaXiv</font>

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COUNTLESS - High Performance 2x Downsampling of Labeled Images Using Python and Numpy
Towards Data Scienceworld

COUNTLESS - High Performance 2x Downsampling of Labeled Images Using Python and Numpy

<a href="https://news.google.com/rss/articles/CBMixwFBVV95cUxOMW5GeWlJZWFXaWI2QllfcVRjSlFac2I0dTRDNE1UUDZrR0o2V2NnM29meXQtZmhvcEdXcWpXdXd1LUo5ZHRJM000cldtS21NZTFBRVFSRFpHTTBkNFFST3JwT01iQWJVOV9lU2NlbjV4bXpzU2RHQTc0NzgyeEE3NWZJeHpxcVBHeFU4TWtQTGFuSVZUbzlNUWphV2dFUHpxQnZ6Z3NTTEwtSzJSLVljdFhmQW50OUlxS3FhT21FWm9OZGRiQURj?oc=5" target="_blank">COUNTLESS - High Performance 2x Downsampling of Labeled Images Using Python and Numpy</a>  <font color="#6f6f6f">Towards Data Science</font>

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PointAS: an attention based sampling neural network for visual perception
Frontiersgeneral

PointAS: an attention based sampling neural network for visual perception

<a href="https://news.google.com/rss/articles/CBMipwFBVV95cUxOeDVMZUdDeWhCTHFOVFdhZVppYTRnOG9DYVZxOVUyRGxxYmZjMks1RHlSeXJVSTFWTVhSYUN4NFdhRlhMMERycVZXMzhLNEh4MkU0RC1JVTJKR0tidl9OTDZzVVhEQ214Wjcxd1NTTXdRTk14SFdhTUl0dXd4akpVSnlDMGVLOVRjbGV2cnl0UTZESjlvNFB6bkoyU0ItcFBneGs0WmhZbw?oc=5" target="_blank">PointAS: an attention based sampling neural network for visual perception</a>  <font color="#6f6f6f">Frontiers</font>

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FasterMLP efficient vision networks combining attention mechanisms and wavelet downsampling
Naturegeneral

FasterMLP efficient vision networks combining attention mechanisms and wavelet downsampling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBuYmg2UGFvWk0wS2tfMDQ2TWpoakxLdHVkUW9mWWc0N2w0MEUzZS1VYzd1M2pONkJHS1JJY2o4NXlEbHY3VVBLOWU5bzFfM3Qwem8wanNGZzRxNUVmeEp3?oc=5" target="_blank">FasterMLP efficient vision networks combining attention mechanisms and wavelet downsampling</a>  <font color="#6f6f6f">Nature</font>

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moco: Fast Motion Correction for Calcium Imaging
Frontiersgeneral

moco: Fast Motion Correction for Calcium Imaging

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxPWVZFQkpJTmNhOGRneVVjOVo4WjVLNmpXV1VjU1VIaEluY0loSnpRMnFGVmtSWGZJMlRhU1NDVi0yakhNQ1FXbWdCWENJX3ZFb0U4VWoyTk1KTnY2TmFzZFNCamRVa2dYaW42U2lNbnlRR0VBTVpSalZ0WXcxb0RhSDF2TzZOaU5hbjA0dllaaElMY1c4Z0lR?oc=5" target="_blank">moco: Fast Motion Correction for Calcium Imaging</a>  <font color="#6f6f6f">Frontiers</font>

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Real-world video superresolution enhancement method based on the adaptive down-sampling model
Natureworld

Real-world video superresolution enhancement method based on the adaptive down-sampling model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE80MTd2bFM1OWRucjBkZnJFYnRMaEJpdWdRU2N5ME4waFVQX1p5R0hzZnhrR3U0RVFJMWxMalY5QnZwY0NpREMyQTNSdkRQQ1RPbm1Jc1piRDNLLTFlVUR3?oc=5" target="_blank">Real-world video superresolution enhancement method based on the adaptive down-sampling model</a>  <font color="#6f6f6f">Nature</font>

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Enhancing enterprise decision support via swin transformer-based OCR-free information extraction
Naturegeneral

Enhancing enterprise decision support via swin transformer-based OCR-free information extraction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5DOWVtMXdNT1VFSndLZkNpQ04yRFdrdlFrMEluS0Fua0x5aXFwZHRMRnhJZVBYQnJLc196YkQ3eERfZE1tX1VIVkdqZkYwYzZEM3lVWFlhZGNrM1FWY0x3?oc=5" target="_blank">Enhancing enterprise decision support via swin transformer-based OCR-free information extraction</a>  <font color="#6f6f6f">Nature</font>

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Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach
Naturegeneral

Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBhVGYzUHlGc2o3cS1sdkZJaDFwZW5mRnlsaGxYaUc2ZThpSXZHYTdVWndHZGMwdDR5RkZWRk5qbWhqWEgyYUttVnZaVERpenVzWlFfd3RSd1hWbzRKWENZ?oc=5" target="_blank">Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach</a>  <font color="#6f6f6f">Nature</font>

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privateST: a feasible framework for privacy-preserving spatial transcriptomics prediction from histopathology images
Naturegeneral

privateST: a feasible framework for privacy-preserving spatial transcriptomics prediction from histopathology images

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5WTVBNN0xCWC1JMEkwdGJTV0RfUlhIcHZRcnlyelR1U2dvY2syTVc1MzRVY3N0V2dPNm5SS2tBUE9iMmNZa21VWkpnV0NnSjRidmk3SXBUQzBQVkM2U1hn?oc=5" target="_blank">privateST: a feasible framework for privacy-preserving spatial transcriptomics prediction from histopathology images</a>  <font color="#6f6f6f">Nature</font>

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Improved gene co-expression network quality through expression dataset down-sampling and network aggregation
Naturegeneral

Improved gene co-expression network quality through expression dataset down-sampling and network aggregation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5USjRQUW1nMHVNSlk2bER1RmhxYlZSNDZrQ1d2U096OHBJckZuTk1BNG12cC1Dd29pbk9uWmE5eEtxeUQ1aEhRVUVBMmxUMmdsTjV6WlpCOEdQd01PbTY4?oc=5" target="_blank">Improved gene co-expression network quality through expression dataset down-sampling and network aggregation</a>  <font color="#6f6f6f">Nature</font>

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Best practices for differential accessibility analysis in single-cell epigenomics
Naturegeneral

Best practices for differential accessibility analysis in single-cell epigenomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5vVTRmNUxuQzBCUTBCb25kSEloNThBbUdIMC1NV2JXQkFSN2NfemtPbm9YZzBmSGlEZGlaMlBLMlYtWEl0WTRrUTl5eDBjRDdMN0V1cWR6aTlZaHduZlNn?oc=5" target="_blank">Best practices for differential accessibility analysis in single-cell epigenomics</a>  <font color="#6f6f6f">Nature</font>

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Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia
Naturegeneral

Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0wWGhjdHVDX0JyMkd6UmRQdGJncG43QUwwaFhQMzV0UDgxQXBYZnRxV2c1UmpjUlVvbV8wekRMZGpmTVhEbmJqZ1ltb3VQdGR1cDJBV0RjRE9kMXRHdnZZ?oc=5" target="_blank">Artificial intelligence-enhancement of flow cytometry data accelerates the identification of measurable residual chronic lymphocytic leukemia</a>  <font color="#6f6f6f">Nature</font>

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Cellpose3: one-click image restoration for improved cellular segmentation
Naturegeneral

Cellpose3: one-click image restoration for improved cellular segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5sbnBEbDZaT0FRX1dyOXkzVkFOTW5sQ3dTVUg2RW1rbmR2UWdaQmg0NTBjamRqbURMMTl0QmdNWmF1VEhBengxbkdfS1RVcXBZb2dUOV9zXzRPdm1mOVhB?oc=5" target="_blank">Cellpose3: one-click image restoration for improved cellular segmentation</a>  <font color="#6f6f6f">Nature</font>

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A fast blind zero-shot denoiser
Naturegeneral

A fast blind zero-shot denoiser

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9xV19RQ05HV18wQnR2eDVsVmFVcUxhZ2hIOE9uWlhXd3BkX3NJSW0xZ3NmZnJfZGFvaWVNNkRlSWdob0xkOTFWb2lFdzJyVENEMHZ0SWJNNUxZT1RKWmln?oc=5" target="_blank">A fast blind zero-shot denoiser</a>  <font color="#6f6f6f">Nature</font>

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The reconstruction method for static exterior model of digital twin railway station based on mobile vehicle
Naturetech

The reconstruction method for static exterior model of digital twin railway station based on mobile vehicle

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BRlNRZXpLTkcxeWJ5TnAtV2RDWXFzb3c2b0FZbzdoS1hUNmhBTktZa1RlUWRmckVDYWNOVjU1UE1BSVVDQnBKUGRWVGZPVnlkMzFwc3FoYVZkcC1LeHdR?oc=5" target="_blank">The reconstruction method for static exterior model of digital twin railway station based on mobile vehicle</a>  <font color="#6f6f6f">Nature</font>

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multistrap: boosting phylogenetic analyses with structural information
Naturegeneral

multistrap: boosting phylogenetic analyses with structural information

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAzamtYTVhTUVBiVjN4M3dXeGhvMmNtMTBfXzdWXzN5M09NUlNrS2hvcTBHZmVlVWMyRE12dGxCckFCYV9hY21vT2EyME13anFaa1ZiTEQ5Z1ZuVzJFM1Rn?oc=5" target="_blank">multistrap: boosting phylogenetic analyses with structural information</a>  <font color="#6f6f6f">Nature</font>

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Systematic comparison of sequencing-based spatial transcriptomic methods
Naturegeneral

Systematic comparison of sequencing-based spatial transcriptomic methods

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1HZl9mYnBPUENMUEtSQ3dIRkcyeXBPMURhdE0xWFVIV1dOdmwxRloxWUxsbTdzdGQzdEtqOHYtQ25BR3hEcXVpT3YwckV1SnB1T0tqclNwYjNXTnhOb01F?oc=5" target="_blank">Systematic comparison of sequencing-based spatial transcriptomic methods</a>  <font color="#6f6f6f">Nature</font>

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A improved pooling method for convolutional neural networks - Scientific Reports
Naturegeneral

A improved pooling method for convolutional neural networks - Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mbmNoTUl5TDRSLUNfN3EwSHRHTnJWQzdDYXpHVFJWeHN3ZExhNTlpREtsSktZVWxuZVNKQXpTWjRORnkyalUzanlza3FjdEVZZ0ZXQ2dQX1VHZ2h6T3Yw?oc=5" target="_blank">A improved pooling method for convolutional neural networks - Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Multi-scale adversarial diffusion network for image super-resolution
Naturegeneral

Multi-scale adversarial diffusion network for image super-resolution

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9UOHBzWHlkdzVmemMyYjZBMThUMXFjOG5lbDRseldJR0RaWGRmSXl4T0s3ZFdlRG02dlVKcE9JT0w4aHJwVGtaei03NmNmQWR3ajVUWXRLanNiTFg3VXBN?oc=5" target="_blank">Multi-scale adversarial diffusion network for image super-resolution</a>  <font color="#6f6f6f">Nature</font>

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Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality
Naturetech

Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9rOHpXOF9zUUxBcFJsdkc4RnUxd2oxa2hGVDdtRUkyamFUUzgzb0N0dnhPRFlDMi1wdlpiN1BoTDNIVGY5TFdsck9mVlhLX2FUZzNFYnJGX0h2ZmN0WXE0?oc=5" target="_blank">Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality</a>  <font color="#6f6f6f">Nature</font>

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CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold
Naturegeneral

CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ObUIyaHQ5U003LVJ4ellBTEp6NE9QekFpWE5ZTWpDM3RTVm5WbEVOc3YwMVJhaXlIWXVJNGQ2dE02ME9yU09DaGp0R2RGcUZFRC1pQ3ZFRnpGR2liRWQw?oc=5" target="_blank">CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifold</a>  <font color="#6f6f6f">Nature</font>

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Annotate dense point cloud data using Amazon SageMaker Ground Truth
Amazon Web Services (AWS)world

Annotate dense point cloud data using Amazon SageMaker Ground Truth

<a href="https://news.google.com/rss/articles/CBMiqwFBVV95cUxOYlpNaG1LMHJIbTU0X290UVNFUmtyQTE3WG8yMGdyczdoSmJ1aXFVeERxYzhKajNiODd5d29GT1BLM3V1Uzl5RFlOdEM1VUw5TWdFVzZ3SUd5X0l5LU9wYzdPTjVUTmtLaGU5SHBnLVpJWkEycmdjUG1sSFhIMG1DV3NqaXhCYkJtTlRGOG1CZmNhTEduUktWV1NKV1ZUUDk2c2FVSHlhYTZxX3M?oc=5" target="_blank">Annotate dense point cloud data using Amazon SageMaker Ground Truth</a>  <font color="#6f6f6f">Amazon Web Services (AWS)</font>

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A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks
Naturegeneral

A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA0WER5RHU0NHoxNGZRSjNUbERzNnpHX0VmNDlmM0pZZTNBaEhXU3NOWFM3U2FnWF9VbmwyWjZjeFQxcVQzdmhNTm8wTWdtQ2hkMjNZN0MwNWJZcHhfVFl3?oc=5" target="_blank">A novel approach to palm vein image segmentation combining multi-scale convolution and swin-transformer networks</a>  <font color="#6f6f6f">Nature</font>

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Object detection model design for tiny road surface damage
Naturegeneral

Object detection model design for tiny road surface damage

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9xUldvTTZlNzVyMnRvQ1VaSlBOdzVidHpIM2pSVTFoa3BGZ0dCSWRObnNyRWt6cFNFRmIzMlNfRDdaQU1KVzU3ZEc2YWZDenlPSFIta056VGhYdXZ4dndV?oc=5" target="_blank">Object detection model design for tiny road surface damage</a>  <font color="#6f6f6f">Nature</font>

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Plant disease classification in the wild using vision transformers and mixture of experts
Frontiersgeneral

Plant disease classification in the wild using vision transformers and mixture of experts

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQNW9MU0Mxb0ZTQS1Bel9xbGFrTTNSVHNfc0NDekJJS1EyV2otR3I4MW53QllCZGJmc2duelp2NGRDTkQxQk0zMV9qblk1Nl9vdzJ5YTliT1otMzJQMzN2Q1VxOHc1T1ZUbi1WRThKR25qc1RhUkItMUFZRlpPTll0aHVkQUFua1VxdTBWTDRlVEEyeTRH?oc=5" target="_blank">Plant disease classification in the wild using vision transformers and mixture of experts</a>  <font color="#6f6f6f">Frontiers</font>

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