Top Tweets for #Semantic_segmentation
SCR-Net: A Dual-Channel Water Body Extraction Model Based on Multi-Spectral Remote Sensing Imagery—A Case Study of Daihai Lake, China
https://t.co/RLDWk1AG6o
#lake_area #remote_sensing #semantic_segmentation #ecology
UAV Imagery Real-Time Semantic Segmentation with Global–Local Information Attention
https://t.co/Bl3nAfTQVF
#real_time #semantic_segmentation #drone #imagery
Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions
https://t.co/6eu0y2KXqd
#semantic_segmentation #images #hybrid_architectures #vision_transformers #computational_efficiency
Land Cover Classification of UAV Remote Sensing Based on Transformer–CNN Hybrid Architecture
https://t.co/0QqpQlLKf5
#semantic_segmentation #UAV_remote_sensing
Semantic Segmentation Network Based on Adaptive Attention and Deep Fusion Utilizing a Multi-Scale Dilated Convolutional Pyramid
https://t.co/gZpDS9spXM
#semantic_segmentation #adaptive_attention
ADM-SLAM: Accurate and Fast Dynamic Visual SLAM with Adaptive Feature Point Extraction, Deeplabv3pro, and Multi-View Geometry
https://t.co/byxy2jpLGj
#feature_point_extraction #semantic_segmentation
An Appearance-Semantic Descriptor with Coarse-to-Fine Matching for Robust VPR
https://t.co/p1uKc4TvCY
#visual_place_recognition #semantic_segmentation
MYFix: Automated Fixation Annotation of Eye-Tracking Videos
https://t.co/7OKwNa0Mfl
#object_detection #semantic_segmentation
#highlycitedpaper
A Wearable Navigation Device for Visually Impaired People Based on the Real-Time Semantic Visual SLAM System
https://t.co/1YWVnFHU6k
@BIT1940
@osaka_univ_e
#wearable_device #semantic_segmentation #SLAM #assistance_for_visually_impaired_people #localization
A great paper in #CNN for #Semantic_Segmentation using #U_Net in 2015 as follows:
👇🏻👇🏻👇🏻👇🏻
https://t.co/4UBJzd9XLg
So interesting position at uOttawa I am going to work on:
It revolves around #Computer_Vision by #CNNs (LeNet, ResNet, VGG,Inception V4, GoogLeNet, ZF, AlexNet) for #Semantic_Segmentation, #Object_Detection, #Instance_Detection, #Classification & #Localization.
What a challenge! French mapping agency provides a unique FLAIR dataset including aerial imagery, topographic information and land cover (buildings, water, forest, agriculture) annotations. All thisto push the SOTA in #semantic_segmentation, #domain_adaptation, #transfer_learning
Introducing the first comprehensive #image_dataset for #semantic_segmentation of water-related objects, #ATLANTIS, and an exclusive semantic-segmentation #deeplearning model for image processing of water resources, #AQUANet published in @iEMSsNews @UofSC_CEC @ElsevierConnect
Happy to announce our collaborative paper got published @ELSenviron. #ATLANTIS is a large-scale #image_dataset for #semantic_segmentation of waterbodies. Thanks to collaborators from department of #computer_science.
Happy to announce our collaborative paper got published @ELSenviron. #ATLANTIS is a large-scale #image_dataset for #semantic_segmentation of waterbodies. Thanks to collaborators from department of #computer_science.
A new scientific paper by #OpenDR team was just accepted at #IISA2021 conference, entitled "Semantic Scene Segmentation for Robotics Applications"!
📜Preprint: https://t.co/Tg1ZwhLe8u
🌎Web: https://t.co/N0gAR9vmPP
#ai #deeplearning #semantic_segmentation #new #ml #conference
Our new model #LiteSeg: A Litewiegth ConvNet for Semantic Segmentation (67.81% mIOU at 161 FPS on the Cityscapes dataset.)
Source code: https://t.co/ZI789ZvArz
#semantic_segmentation
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