Saved in:
| Main Authors: | Grover, Rynaa, Tamarapalli, Jayant Sravan, Yerramilli, Sahiti, Pande, Nilay |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.03194 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes
by: Pande, Nilay, et al.
Published: (2025)
by: Pande, Nilay, et al.
Published: (2025)
GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning
by: Yerramilli, Sahiti, et al.
Published: (2025)
by: Yerramilli, Sahiti, et al.
Published: (2025)
CountQA: How Well Do MLLMs Count in the Wild?
by: Tamarapalli, Jayant Sravan, et al.
Published: (2025)
by: Tamarapalli, Jayant Sravan, et al.
Published: (2025)
Semantic Augmentation in Images using Language
by: Yerramilli, Sahiti, et al.
Published: (2024)
by: Yerramilli, Sahiti, et al.
Published: (2024)
Attribution Regularization for Multimodal Paradigms
by: Yerramilli, Sahiti, et al.
Published: (2024)
by: Yerramilli, Sahiti, et al.
Published: (2024)
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs
by: Barrios, Wayner, et al.
Published: (2025)
by: Barrios, Wayner, et al.
Published: (2025)
AI Guide Dog: Egocentric Path Prediction on Smartphone
by: Jadhav, Aishwarya, et al.
Published: (2025)
by: Jadhav, Aishwarya, et al.
Published: (2025)
Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
by: Xiao, Tong, et al.
Published: (2025)
by: Xiao, Tong, et al.
Published: (2025)
RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition
by: Liu, Ziyu, et al.
Published: (2024)
by: Liu, Ziyu, et al.
Published: (2024)
ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
by: Diao, Xingjian, et al.
Published: (2025)
by: Diao, Xingjian, et al.
Published: (2025)
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
by: Fang, Qingqing, et al.
Published: (2024)
by: Fang, Qingqing, et al.
Published: (2024)
Chart-FR1: Visual Focus-Driven Fine-Grained Reasoning on Dense Charts
by: Pan, Hongkun, et al.
Published: (2026)
by: Pan, Hongkun, et al.
Published: (2026)
CropVLM: Learning to Zoom for Fine-Grained Vision-Language Perception
by: Carvalho, Miguel, et al.
Published: (2025)
by: Carvalho, Miguel, et al.
Published: (2025)
MLLMs-Augmented Visual-Language Representation Learning
by: Liu, Yanqing, et al.
Published: (2023)
by: Liu, Yanqing, et al.
Published: (2023)
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
by: Chapman, Avraham, et al.
Published: (2024)
by: Chapman, Avraham, et al.
Published: (2024)
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
by: Wei, Lai, et al.
Published: (2026)
by: Wei, Lai, et al.
Published: (2026)
InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs
by: Tang, Lv, et al.
Published: (2026)
by: Tang, Lv, et al.
Published: (2026)
PAND: Prompt-Aware Neighborhood Distillation for Lightweight Fine-Grained Visual Classification
by: Luo, Qiuming, et al.
Published: (2026)
by: Luo, Qiuming, et al.
Published: (2026)
GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs
by: Zheng, Guanghao, et al.
Published: (2025)
by: Zheng, Guanghao, et al.
Published: (2025)
Towards Fine-Grained Video Question Answering
by: Dai, Wei, et al.
Published: (2025)
by: Dai, Wei, et al.
Published: (2025)
A More Word-like Image Tokenization for MLLMs
by: Lee, Hyun, et al.
Published: (2026)
by: Lee, Hyun, et al.
Published: (2026)
VideoScaffold: Elastic-Scale Visual Hierarchies for Streaming Video Understanding in MLLMs
by: Zheng, Naishan, et al.
Published: (2025)
by: Zheng, Naishan, et al.
Published: (2025)
SPHINX: A Synthetic Environment for Visual Perception and Reasoning
by: Alam, Md Tanvirul, et al.
Published: (2025)
by: Alam, Md Tanvirul, et al.
Published: (2025)
Orion: A Unified Visual Agent for Multimodal Perception, Advanced Visual Reasoning and Execution
by: Reddy, N Dinesh, et al.
Published: (2025)
by: Reddy, N Dinesh, et al.
Published: (2025)
Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting
by: Pellegrini, Chantal, et al.
Published: (2026)
by: Pellegrini, Chantal, et al.
Published: (2026)
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery
by: Rastegar, Sarah, et al.
Published: (2024)
by: Rastegar, Sarah, et al.
Published: (2024)
Learning Relative Representations for Fine-Grained Multimodal Alignment with Limited Data
by: Kim, Shiwon, et al.
Published: (2026)
by: Kim, Shiwon, et al.
Published: (2026)
TopoPerception: A Shortcut-Free Evaluation of Global Visual Perception in Large Vision-Language Models
by: Zhou, Wenhao, et al.
Published: (2025)
by: Zhou, Wenhao, et al.
Published: (2025)
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
by: He, Hulingxiao, et al.
Published: (2025)
by: He, Hulingxiao, et al.
Published: (2025)
Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement
by: He, Chunming, et al.
Published: (2025)
by: He, Chunming, et al.
Published: (2025)
Perception Tokens Enhance Visual Reasoning in Multimodal Language Models
by: Bigverdi, Mahtab, et al.
Published: (2024)
by: Bigverdi, Mahtab, et al.
Published: (2024)
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)
by: Monsefi, Amin Karimi, et al.
Published: (2025)
Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
by: Pawlonka, Szymon, et al.
Published: (2025)
by: Pawlonka, Szymon, et al.
Published: (2025)
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
by: Pourmirzaei, Mahdi, et al.
Published: (2021)
by: Pourmirzaei, Mahdi, et al.
Published: (2021)
APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization
by: Hong, Minjie, et al.
Published: (2025)
by: Hong, Minjie, et al.
Published: (2025)
From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs
by: Wu, Boyong, et al.
Published: (2026)
by: Wu, Boyong, et al.
Published: (2026)
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models
by: Wang, Yubo, et al.
Published: (2024)
by: Wang, Yubo, et al.
Published: (2024)
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
by: Cho, Jang Hyun, et al.
Published: (2025)
by: Cho, Jang Hyun, et al.
Published: (2025)
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
by: Ke, Yekun, et al.
Published: (2025)
by: Ke, Yekun, et al.
Published: (2025)
Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs
by: Hong, Yunqi, et al.
Published: (2025)
by: Hong, Yunqi, et al.
Published: (2025)
Similar Items
-
MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes
by: Pande, Nilay, et al.
Published: (2025) -
GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning
by: Yerramilli, Sahiti, et al.
Published: (2025) -
CountQA: How Well Do MLLMs Count in the Wild?
by: Tamarapalli, Jayant Sravan, et al.
Published: (2025) -
Semantic Augmentation in Images using Language
by: Yerramilli, Sahiti, et al.
Published: (2024) -
Attribution Regularization for Multimodal Paradigms
by: Yerramilli, Sahiti, et al.
Published: (2024)