:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qian, Baihong, Fan, Haotian, Liao, Wenjie, Wang, Yunqiu, Li, Tao, Cui, Junhui
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2508.11170
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EvalMuse-40K: A Reliable and Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Evaluation
by: Han, Shuhao, et al.
Published: (2024)

Supervised Fine-tuning in turn Improves Visual Foundation Models
by: Jiang, Xiaohu, et al.
Published: (2024)

Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner
by: Wang, Qian-Wei, et al.
Published: (2026)

POP: Prefill-Only Pruning for Efficient Large Model Inference
by: He, Junhui, et al.
Published: (2026)

R^3-VQA: "Read the Room" by Video Social Reasoning
by: Niu, Lixing, et al.
Published: (2025)

SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
by: Bouhsine, Taha, et al.
Published: (2024)

MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
by: Kou, Qian, et al.
Published: (2026)

Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
by: Zeng, Hui, et al.
Published: (2024)

I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
by: Sassoon, Jordan, et al.
Published: (2025)

Integer-Only Operations on Extreme Learning Machine Test Time Classification
by: Machadoa, Emerson Lopes, et al.
Published: (2026)

VQA$^2$: Visual Question Answering for Video Quality Assessment
by: Jia, Ziheng, et al.
Published: (2024)

Is ChatGPT-5 Ready for Mammogram VQA?
by: Li, Qiang, et al.
Published: (2025)

Decoder-Only LLMs are Better Controllers for Diffusion Models
by: Dong, Ziyi, et al.
Published: (2025)

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
by: Li, Aodi, et al.
Published: (2024)

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models
by: Zhu, Wenhui, et al.
Published: (2025)

Detect an Object At Once without Fine-tuning
by: Hao, Junyu, et al.
Published: (2024)

VladVA: Discriminative Fine-tuning of LVLMs
by: Ouali, Yassine, et al.
Published: (2024)

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation
by: Yan, Weihao, et al.
Published: (2024)

mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA
by: Yuan, Xu, et al.
Published: (2025)

MotIF: Motion Instruction Fine-tuning
by: Hwang, Minyoung, et al.
Published: (2024)

Text-Only Data Synthesis for Vision Language Model Training
by: Yu, Xiaomin, et al.
Published: (2025)

MetaEarth3D: Unlocking World-scale 3D Generation with Spatially Scalable Generative Modeling
by: Cao, Jinqi, et al.
Published: (2026)

Bridging Weakly-Supervised Learning and VLM Distillation: Noisy Partial Label Learning for Efficient Downstream Adaptation
by: Wang, Qian-Wei, et al.
Published: (2025)

MatchSeg: Towards Better Segmentation via Reference Image Matching
by: Huo, Jiayu, et al.
Published: (2024)

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
by: Xiao, Yujie, et al.
Published: (2025)

Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine
by: Wu, Yuan, et al.
Published: (2026)

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
by: Yang, Kai, et al.
Published: (2023)

VQA-Levels: A Hierarchical Approach for Classifying Questions in VQA
by: Madaka, Madhuri Latha, et al.
Published: (2025)

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents
by: Chen, Yixiong, et al.
Published: (2026)

Reviving In-domain Fine-tuning Methods for Source-Free Cross-domain Few-shot Learning
by: Zhao, Yaze, et al.
Published: (2026)

EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis
by: Li, Shaojie, et al.
Published: (2024)

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types
by: Chen, Jiankang, et al.
Published: (2025)

Fine-tuning DeepSeek-OCR-2 for Molecular Structure Recognition
by: Tang, Haocheng, et al.
Published: (2026)

ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
by: Diao, Xingjian, et al.
Published: (2025)

GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation
by: Sultan, Rafi Ibn, et al.
Published: (2023)

PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA
by: Yang, Chunze, et al.
Published: (2026)

Advancing Surgical VQA with Scene Graph Knowledge
by: Yuan, Kun, et al.
Published: (2023)

Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models
by: Suzuki, Satoshi, et al.
Published: (2025)

EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning in Vision Transformers
by: Liao, Wenwen, et al.
Published: (2026)

Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA
by: Xu, Zibo, et al.
Published: (2026)