ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.10709
  4. Cited By
A CNN-RNN Architecture for Multi-Label Weather Recognition

A CNN-RNN Architecture for Multi-Label Weather Recognition

24 April 2019
Bin Zhao
Xuelong Li
Xiaoqiang Lu
Zhigang Wang
ArXivPDFHTML

Papers citing "A CNN-RNN Architecture for Multi-Label Weather Recognition"

9 / 9 papers shown
Title
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
Qi Bi
Shaodi You
Theo Gevers
48
1
0
29 Mar 2024
MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition
MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition
Shengchao Chen
Ting Shu
Huani Zhao
Yuan Yan Tang
ViT
34
15
0
28 Apr 2023
Automatic Image Content Extraction: Operationalizing Machine Learning in
  Humanistic Photographic Studies of Large Visual Archives
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives
Anssi Männistö
Mert Seker
Alexandros Iosifidis
Jenni Raitoharju
VLM
24
5
0
05 Apr 2022
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs
  for Fair Assessment of Commercial Driving
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
J. M. Mase
Direnc Pekaslan
Utkarsh Agrawal
M. Mesgarpour
P. Chapman
Mercedes Torres Torres
Grazziela Figueredo
20
3
0
20 Feb 2022
Weather and Light Level Classification for Autonomous Driving: Dataset,
  Baseline and Active Learning
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning
Mahesh M Dhananjaya
V. Kumar
S. Yogamani
22
35
0
28 Apr 2021
Near real-time map building with multi-class image set labelling and
  classification of road conditions using convolutional neural networks
Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks
S. Ramanna
Cenker Sengoz
S. Kehler
D. Pham
19
12
0
27 Jan 2020
WeatherNet: Recognising weather and visual conditions from street-level
  images using deep residual learning
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
M. Ibrahim
James Haworth
T. Cheng
16
61
0
22 Oct 2019
Deep Smoke Segmentation
Deep Smoke Segmentation
Feiniu Yuan
Lin Zhang
Xue Xia
Boyang Wan
Qinghua Huang
Xuelong Li
19
101
0
04 Sep 2018
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
1