MAYFIELD TRANSFER
Mayfield Transfer is a transportation company offers truckload, logistics, and transportation services.
MAYFIELD TRANSFER
Social Links:
Industry:
Logistics Transportation Warehousing
Founded:
1943-01-01
Address:
Melrose Park, Illinois, United States
Country:
United States
Website Url:
http://www.mfld.net
Total Employee:
101+
Status:
Active
Contact:
+1 (708) 681-4440
Technology used in webpage:
SPF Font Awesome Mobile Non Scaleable Content Microsoft Exchange Online Office 365 Mail Cloudflare JS CDN JS Liquid Web Comcast
Official Site Inspections
http://www.mfld.net
- Host name: stormx1.hostingbyaces.com
- IP address: 209.59.174.179
- Location: Lansing United States
- Latitude: 42.7348
- Longitude: -84.6245
- Metro Code: 551
- Timezone: America/Detroit
- Postal: 48917
More informations about "Mayfield Transfer"
MFLD-net: a lightweight deep learning network for fish โฆ
Jul 8, 2023ย ยท In this paper, we developed a novel DL architecture that we call Mobile Fish Landmark Detection network (MFLD-net). We show that MFLD-net can achieve keypoint detection accuracies on par or even better than some of โฆSee details»
(PDF) MFLD-net: a lightweight deep learning network โฆ
Jul 8, 2023ย ยท In this paper, we developed a novel DL architecture that we call Mobile Fish Landmark Detection network (MFLD-net). We show that MFLD-net can achieve keypoint detection accuracies on par or...See details»
MFLD-net: a lightweight deep learning network for fish โฆ
MFLD-net uses convolution operations based on Vision Transformers (i.e. patch embeddings, multi-layer perceptrons). We show that MFLD-net can achieve competitive or better results in โฆSee details»
[PDF] MFLD-net: a lightweight deep learning network for fish ...
In this paper, we developed a novel DL architecture that we call Mobile Fish Landmark Detection network (MFLD-net). We show that MFLD-net can achieve keypoint detection accuracies on โฆSee details»
A lightweight Transformer-based model for fish landmark โฆ
Mar 13, 2024ย ยท In this work, we developed a novel model architecture that we call a Mobile fish landmark detection network (MFLD-net). We have made this model using convolution โฆSee details»
MFLD-net: a lightweight deep lear... preview & related info
(2023) Saleh et al. Aquatic Ecology. Monitoring the morphological traits of farmed fish is pivotal in understanding growth, estimating yield, artificial breeding, and population-based โฆSee details»
A lightweight Transformer-based model for fish โฆ
Sep 13, 2022ย ยท In this work, we developed a novel model architecture that we call a Mobile fish landmark detection network (MFLD-net). We have made this model using convolution operations based on ViT (i.e....See details»
MFLD-net: a lightweight deep learning network for fish โฆ
In this paper, we developed a novel DL architecture that we call Mobile Fish Landmark Detection network (MFLD-net). We show that MFLD-net can achieve keypoint detection accuracies on โฆSee details»
A lightweight Transformer-based model for fish landmark detection
Sep 13, 2022ย ยท In this work, we developed a novel model architecture that we call a Mobile fish landmark detection network (MFLD-net). We have made this model using convolution โฆSee details»
A lightweight Transformer-based model for ๏ฌsh landmark detecti
Call a Mobile ๏ฌsh landmark detection network (MFLD-net). We have made this model using convolution operations based on ViT (i.e. Patch embeddings, Multi-Layer Perceptrons). MFLD โฆSee details»
Deep but lightweight neural networks for fish detection
In this paper, we introduced a deep but lightweight neural network to detect fishes. It achieved the state-of-the-art accuracy for fish detection on the dataset of ImageCLEF, which includes โฆSee details»
MFLD-net: a lightweight deep learning network for fish โฆ
Network (MFLD-net). We show that MFLD-net can achieve keypoint detection accuracies on par or even better than some of the state-of-the-art CNNs on a sh image dataset. MFLD-net uses...See details»
Proposed MFLD-net architecture, which is similar in spirit to the โฆ
MFLD-net: a lightweight deep learning network for fish morphometry using landmark detectionSee details»
FD-Net: A Model Based on Deep Learning for Deep-Sea Fish โฆ
In this paper, a new single-stage object detection model FD-Net is proposed, which aims to solve the problem of low accuracy of existing object detection algorithms for deep-sea fish with โฆSee details»
Modified architecture of the U-NET convolutional neural network โฆ
In this paper, we developed a novel DL architecture that we call Mobile Fish Landmark Detection network (MFLD-net). We show that MFLD-net can achieve keypoint detection accuracies on โฆSee details»
A schematic diagram of the multi-task loss function used for โฆ
Download scientific diagram | A schematic diagram of the multi-task loss function used for training MFLD-net. from publication: A lightweight Transformer-based model for fish landmark detection...See details»