Aerial Imagery dataset for Shadow Detection (AISD) Shuang Luo, Huifang Li, Huanfeng Shen. “Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset”. ISPRS Journal of Photogrammetry and Remote Sensing, 2020. ...
To analyze species count data when detection is imperfect, ecologists need models to estimate relative abundance in the presence of unknown sources of heterogeneity. Two candidate models are generalized linear mixed models (GLMMs) and hierarchical N-mixt
Modeling sequences with structured state spaces, Responsibility: Albert Gu, Publication: [Stanford, California] : [Stanford University], 2023 [Thesis (330 pages)] [PDF] State Space Model for New-Generation Network Alternative to Transformers: A Survey, Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang...
Aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in a wide variety of remote sensing contexts. However, supervised learning requires training datasets which are not always
3640 External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity 7401 EXTREME ENCODER OUTPUT FRAME RATE REDUCTION: IMPROVING COMPUTATIONAL LATENCIES OF LARGE END-TO-END MODELS 7584 EXTREMELY LIGHT-WEIGHT LEARNING BASED LDR TO PQ HDR CONVERSION USING BERNSTEIN ...
Unmanned aerial vehicle intrusion detection: Deep-meta-heuristic system Toovercome the limitation, proposed method employs particular set of procedures for the intrusion detection inUAV with Intrusion UAV dataset. The dataset ... S Miao,Q Pan,ZG Mohi-Ud-Din - 《Vehicular Communications》 被引量: ...
This notebook generates a fully 5G NR compliant PUSCH/PDSCH dataset using NVIDIA cuPHY through its Python bindings in pyAerial for PUSCH/PDSCH slot generation and NVIDIA Sionna for radio channel modeling. PUSCH/PDSCH slots get generated and transmitted through different radio channels. Usually, in ...
dataset seeks to meet that need. For 25 locations across 9 U.S. cities, this dataset provides (1) high resolution aerial imagery; (2) annotations of over 40,000 building footprints (OSM shapefiles) as well as road polylines; and (3) topographical height...
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking Jens Hellekes*, Manuel Mühlhaus, Reza Bahmanyar, Seyed Majid Azimi, Franz Kurz CVPR 2024 DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking, Fei Xie (None) · Zhongdao Wang ...
Satellite Imagery Semantic Segmentation with CNN -> 7 different segmentation classes, DeepGlobe Land Cover Classification Challenge dataset, with repo Aerial Semantic Segmentation using U-Net Deep Learning Model medium article, with repo UNet-Satellite-Image-Segmentation -> A Tensorflow implentation of ...