55 skills found · Page 1 of 2
google-research / Population DynamicsPDFM Embeddings: location-based vectors for geo-spatial analysis.
kraina-ai / SraiSpatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
davyneven / SpatialEmbeddingsInstance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
Zhongdao / VehicleReIDKeyPointDataAnnotations of key point location and vehicle orientation for VeRi-776 dataset. ICCV'17 paper: Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.
juglab / EmbedSegCode Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
hfangcat / Awesome Geospatial EmbeddingsA curated list of papers that focus on how to represent Earth data in embedding space — spatial, temporal, or semantic — and how those embeddings behave or are applied.
jingjin25 / LFSSR ATORepository for "Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization" , CVPR 2020
juyongjiang / TrendGCN[CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting" based on Pytorch.
8erberg / Spatially Embedded RNNRepository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.
Hejrati / CDALConditional diffusion model with spatial attention and latent embedding for medical image segmentation
96lives / SsenCode for Spatial Semantic Embedding Network:Fast 3D Instance Segmentation with Deep Metric Learning
Logan-Lin / CTLEImplementation code for the Context and Time-aware Location Embedding (CTLE) model, proposed in the AAAI 2021 paper "Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction".
hyunwoo137 / EDAFormerOfficial Pytorch implementations for "Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation"(ECCV 2024)
pkvartsianyi / SpatioAn embedded spatial database designed for applications that need to store and query location-based data efficiently.
alldbi / Factorized Spatial EmbeddingsTensorflow implementation of Unsupervised learning of object landmarks by factorized spatial embeddings
abhilash1910 / BERTSimilaritySentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
rancheng / S3E SLAMSparse Spatial Scene Embedding for camera relocalization and place recognition
l7170 / PTA HADa prior-based tensor approximation (PTA) is proposed for hyperspectral anomaly detection, in which HSI is decomposed into a background tensor and an anomaly tensor. In the background tensor, a low-rank prior is incorporated into spectral dimension by truncated nuclear norm regularization, and a piecewise- smooth prior on spatial dimension can be embedded by a linear total variation-norm regularization. For anomaly tensor, it is unfolded along spectral dimension coupled with spatial group sparse prior that can be represented by l 2,1 -norm regularization.
gao-lab / PASSAGEPhenotype Associated Spatial Signature Analysis with Graph-based Embedding
psmmettes / Spatial Aware Object EmbeddingsCode base for zero-shot action localization through spatial-aware object embeddings
