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Image Comprehension
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language Models
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation
New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM Collaboration
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
MMGenBench: Evaluating the Limits of LMMs from the Text-to-Image Generation Perspective
CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval
Aquila: A Hierarchically Aligned Visual-Language Model for Enhanced Remote Sensing Image Comprehension
StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
Teach Multimodal LLMs to Comprehend Electrocardiographic Images
FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image Insertion
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension
FullAnno: A Data Engine for Enhancing Image Comprehension of MLLMs
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation
Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
Unveiling Glitches: A Deep Dive into Image Encoding Bugs within CLIP
VGA: Vision GUI Assistant -- Minimizing Hallucinations through Image-Centric Fine-Tuning
Multiplane Prior Guided Few-Shot Aerial Scene Rendering
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
MM-MATH: Advancing Multimodal Math Evaluation with Process Evaluation and Fine-grained Classification
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models
EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA
SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.