UWBench: A Comprehensive Vision-Language Benchmark for Underwater Understanding
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Da, Rong, Chenggang, Li, Bingyu, Wang, Feiyu, Zhao, Zhiyuan, Gao, Junyu, Li, Xuelong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring the Underwater World Segmentation without Extra Training
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
by: Zhang, Da, et al.
Published: (2026)
by: Zhang, Da, et al.
Published: (2026)
An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation
by: Li, Bingyu, et al.
Published: (2026)
by: Li, Bingyu, et al.
Published: (2026)
Towards Realistic Open-Vocabulary Remote Sensing Segmentation: Benchmark and Baseline
by: Li, Bingyu, et al.
Published: (2026)
by: Li, Bingyu, et al.
Published: (2026)
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing
by: Li, Bingyu, et al.
Published: (2025)
by: Li, Bingyu, et al.
Published: (2025)
IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework
by: Wang, Feiyu, et al.
Published: (2026)
by: Wang, Feiyu, et al.
Published: (2026)
SVGen: Interpretable Vector Graphics Generation with Large Language Models
by: Wang, Feiyu, et al.
Published: (2025)
by: Wang, Feiyu, et al.
Published: (2025)
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation
by: Gao, Junyu, et al.
Published: (2024)
by: Gao, Junyu, et al.
Published: (2024)
NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images
by: Gao, Junyu, et al.
Published: (2024)
by: Gao, Junyu, et al.
Published: (2024)
Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis
by: Li, Bingyu, et al.
Published: (2024)
by: Li, Bingyu, et al.
Published: (2024)
UNICBench: UNIfied Counting Benchmark for MLLM
by: Rong, Chenggang, et al.
Published: (2026)
by: Rong, Chenggang, et al.
Published: (2026)
UVLM: Benchmarking Video Language Model for Underwater World Understanding
by: Xue, Xizhe, et al.
Published: (2025)
by: Xue, Xizhe, et al.
Published: (2025)
From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025)
by: Dai, Muzhi, et al.
Published: (2025)
Prototype-Based Low Altitude UAV Semantic Segmentation
by: Zhang, Da, et al.
Published: (2026)
by: Zhang, Da, et al.
Published: (2026)
Understanding Degradation with Vision Language Model
by: Lan, Guanzhou, et al.
Published: (2026)
by: Lan, Guanzhou, et al.
Published: (2026)
Do MLLMs Really See It: Reinforcing Visual Attention in Multimodal LLMs
by: Ou, Siqu, et al.
Published: (2026)
by: Ou, Siqu, et al.
Published: (2026)
A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning
by: Zhou, Qing, et al.
Published: (2025)
by: Zhou, Qing, et al.
Published: (2025)
Enhance Vision-Language Alignment with Noise
by: Huang, Sida, et al.
Published: (2024)
by: Huang, Sida, et al.
Published: (2024)
LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant Diseases
by: Quoc, Khang Nguyen, et al.
Published: (2026)
by: Quoc, Khang Nguyen, et al.
Published: (2026)
IllusionBench+: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models
by: Zhang, Yiming, et al.
Published: (2025)
by: Zhang, Yiming, et al.
Published: (2025)
Beyond Static Artifacts: A Forensic Benchmark for Video Deepfake Reasoning in Vision Language Models
by: Gu, Zheyuan, et al.
Published: (2026)
by: Gu, Zheyuan, et al.
Published: (2026)
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models
by: Ruan, Jiacheng, et al.
Published: (2025)
by: Ruan, Jiacheng, et al.
Published: (2025)
Advancing Visual Reliability: Color-Accurate Underwater Image Enhancement for Real-Time Underwater Missions
by: Zhou, Yiqiang, et al.
Published: (2026)
by: Zhou, Yiqiang, et al.
Published: (2026)
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
by: Yang, Rui, et al.
Published: (2025)
by: Yang, Rui, et al.
Published: (2025)
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities
by: Xia, Shiyu, et al.
Published: (2024)
by: Xia, Shiyu, et al.
Published: (2024)
Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
by: Wang, Jin, et al.
Published: (2025)
by: Wang, Jin, et al.
Published: (2025)
FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
by: Li, Kunchang, et al.
Published: (2023)
by: Li, Kunchang, et al.
Published: (2023)
Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models
by: Guo, Boyang, et al.
Published: (2026)
by: Guo, Boyang, et al.
Published: (2026)
UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching
by: Lv, Qingxuan, et al.
Published: (2024)
by: Lv, Qingxuan, et al.
Published: (2024)
OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding
by: Zhao, Ruixiang, et al.
Published: (2026)
by: Zhao, Ruixiang, et al.
Published: (2026)
ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model
by: Chen, Yifan, et al.
Published: (2024)
by: Chen, Yifan, et al.
Published: (2024)
EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
by: Mao, Xiaofeng, et al.
Published: (2025)
by: Mao, Xiaofeng, et al.
Published: (2025)
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
by: Ying, Kaining, et al.
Published: (2024)
by: Ying, Kaining, et al.
Published: (2024)
FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion
by: Ruan, Jiacheng, et al.
Published: (2024)
by: Ruan, Jiacheng, et al.
Published: (2024)
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Similar Items
-
Exploring the Underwater World Segmentation without Extra Training
by: Li, Bingyu, et al.
Published: (2025) -
MARIS: Marine Open-Vocabulary Instance Segmentation with Geometric Enhancement and Semantic Alignment
by: Li, Bingyu, et al.
Published: (2025) -
U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2024) -
FGAseg: Fine-Grained Pixel-Text Alignment for Open-Vocabulary Semantic Segmentation
by: Li, Bingyu, et al.
Published: (2025) -
Boosting Quantitive and Spatial Awareness for Zero-Shot Object Counting
by: Zhang, Da, et al.
Published: (2026)