Cover Image

Hybrid Spatial Representations for Species Distribution Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Shiran, Zhao, Hao
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A generalizable framework for low-rank tensor completion with numerical priors
by: Yuan, Shiran, et al.
Published: (2023)

Next-Scale Autoregressive Models are Zero-Shot Single-Image Object View Synthesizers
by: Yuan, Shiran, et al.
Published: (2025)

SlimmeRF: Slimmable Radiance Fields
by: Yuan, Shiran, et al.
Published: (2023)

MALPOLON: A Framework for Deep Species Distribution Modeling
by: Larcher, Theo, et al.
Published: (2024)

Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models
by: Ge, Shiran, et al.
Published: (2025)

Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
by: Ding, Yifan, et al.
Published: (2025)

Identifiable Object Representations under Spatial Ambiguities
by: Kori, Avinash, et al.
Published: (2025)

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models
by: de la Brosse, Augustin, et al.
Published: (2026)

How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
by: Purohit, Mirali, et al.
Published: (2025)

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning
by: Littwin, Etai, et al.
Published: (2024)

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
by: Oh, Yunhak, et al.
Published: (2025)

Making Sense Of Distributed Representations With Activation Spectroscopy
by: Reing, Kyle, et al.
Published: (2025)

Understanding Representation Gaps Across Scales in Tropical Tree Species Classification from Drone Imagery
by: Saha, Sulagna, et al.
Published: (2026)

GTA: Guided Transfer of Spatial Attention from Object-Centric Representations
by: Seo, SeokHyun, et al.
Published: (2024)

Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images
by: Stirling, Jamie S. J., et al.
Published: (2026)

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
by: Mühlematter, Dominik J., et al.
Published: (2025)

Rethinking the Bias of Foundation Model under Long-tailed Distribution
by: Chen, Jiahao, et al.
Published: (2025)

Spatial Reasoning with Denoising Models
by: Wewer, Christopher, et al.
Published: (2025)

MiTREE: Multi-input Transformer Ecoregion Encoder for Species Distribution Modelling
by: Chen, Theresa, et al.
Published: (2024)

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study
by: Fang, Xianghong, et al.
Published: (2025)

Johnny: Structuring Representation Space to Enhance Machine Abstract Reasoning Ability
by: Song, Ruizhuo, et al.
Published: (2025)

SpatiaLQA: A Benchmark for Evaluating Spatial Logical Reasoning in Vision-Language Models
by: Xie, Yuechen, et al.
Published: (2026)

Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models
by: Wang, Enguang, et al.
Published: (2026)

VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
by: Huang, Haojian, et al.
Published: (2025)

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training
by: Liu, Fangfu, et al.
Published: (2026)

Learning Sparse Visual Representations via Spatial-Semantic Factorization
by: Zhao, Theodore Zhengde, et al.
Published: (2026)

A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification
by: Li, Yangyang, et al.
Published: (2025)

Pre-trained Visual Dynamics Representations for Efficient Policy Learning
by: Luo, Hao, et al.
Published: (2024)

PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
by: Chen, Zining, et al.
Published: (2024)

Surely Large Multimodal Models (Don't) Excel in Visual Species Recognition?
by: Liu, Tian, et al.
Published: (2025)

ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
by: Kösel, Michael, et al.
Published: (2026)

A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
by: Olivares, Claudio César Claros, et al.
Published: (2025)

FOD-Diff: 3D Multi-Channel Patch Diffusion Model for Fiber Orientation Distribution
by: Tang, Hao, et al.
Published: (2025)

DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
by: Geng, Jingyao, et al.
Published: (2024)

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders
by: Faruk, Tanjim Bin, et al.
Published: (2025)

TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models
by: Chiranjeevi, Shivani, et al.
Published: (2025)

Learning Structured Representations with Hyperbolic Embeddings
by: Sinha, Aditya, et al.
Published: (2024)

ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images
by: Jabareen, Nabil, et al.
Published: (2024)

Evaluating Representations with Readout Model Switching
by: Li, Yazhe, et al.
Published: (2023)

On the Generalization Capacities of MLLMs for Spatial Intelligence
by: Zhang, Gongjie, et al.
Published: (2026)