Cover Image

Solving Spatial Supersensing Without Spatial Supersensing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Udandarao, Vishaal, Karthik, Shyamgopal, Nath, Surabhi S., Hochlehnert, Andreas, Bethge, Matthias, Prabhu, Ameya
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Lifelong Model Evaluation in an Era of Rapid Progress
by: Prabhu, Ameya, et al.
Published: (2024)

ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities
by: Ghosh, Adhiraj, et al.
Published: (2024)

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
by: Udandarao, Vishaal, et al.
Published: (2024)

Cambrian-S: Towards Spatial Supersensing in Video
by: Yang, Shusheng, et al.
Published: (2025)

How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)

A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
by: Hochlehnert, Andreas, et al.
Published: (2025)

A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks
by: Udandarao, Vishaal, et al.
Published: (2025)

A Practitioner's Guide to Continual Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)

PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World
by: Wang, Changpeng, et al.
Published: (2026)

Personalizing Text-to-Image Generation to Individual Taste
by: Maerten, Anne-Sofie, et al.
Published: (2026)

CauSight: Learning to Supersense for Visual Causal Discovery
by: Zhang, Yize, et al.
Published: (2025)

Are We Done with Object-Centric Learning?
by: Rubinstein, Alexander, et al.
Published: (2025)

Toward Cognitive Supersensing in Multimodal Large Language Model
by: Li, Boyi, et al.
Published: (2026)

Mapping Post-Training Forgetting in Language Models at Scale
by: Harmon, Jackson, et al.
Published: (2025)

CiteME: Can Language Models Accurately Cite Scientific Claims?
by: Press, Ori, et al.
Published: (2024)

Concept-Aware Batch Sampling Improves Language-Image Pretraining
by: Ghosh, Adhiraj, et al.
Published: (2025)

Simplifying Knowledge Transfer in Pretrained Models
by: Jain, Siddharth, et al.
Published: (2025)

Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models
by: Eyring, Luca, et al.
Published: (2025)

It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
by: Harrington, Anne, et al.
Published: (2025)

RDumb: A simple approach that questions our progress in continual test-time adaptation
by: Press, Ori, et al.
Published: (2023)

Active Data Curation Effectively Distills Large-Scale Multimodal Models
by: Udandarao, Vishaal, et al.
Published: (2024)

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
by: Pach, Mateusz, et al.
Published: (2025)

Post-hoc Probabilistic Vision-Language Models
by: Baumann, Anton, et al.
Published: (2024)

Concept-Guided Interpretability via Neural Chunking
by: Wu, Shuchen, et al.
Published: (2025)

Modeling Saliency Dataset Bias
by: Kümmerer, Matthias, et al.
Published: (2025)

Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
by: Thede, Lukas, et al.
Published: (2024)

Random Representations Outperform Online Continually Learned Representations
by: Prabhu, Ameya, et al.
Published: (2024)

kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies
by: Gui, Zhongrui, et al.
Published: (2024)

PhilEO Bench: Evaluating Geo-Spatial Foundation Models
by: Fibaek, Casper, et al.
Published: (2024)

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

CASCRNet: An Atrous Spatial Pyramid Pooling and Shared Channel Residual based Network for Capsule Endoscopy
by: Srinanda, K V, et al.
Published: (2024)

Rethinking the Role of Spatial Mixing
by: Cazenavette, George, et al.
Published: (2025)

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

Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization
by: Dziadzio, Sebastian, et al.
Published: (2023)

Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
by: Mayilvahanan, Prasanna, et al.
Published: (2023)

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

Optimizing Helmet Detection with Hybrid YOLO Pipelines: A Detailed Analysis
by: M, Vaikunth, et al.
Published: (2024)

MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs
by: Daxberger, Erik, et al.
Published: (2025)

Spatial Reasoners for Continuous Variables in Any Domain
by: Pogodzinski, Bart, et al.
Published: (2025)

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