MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models Paper • 2410.13085 • Published Oct 16, 2024 • 22
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Paper • 2410.10139 • Published Oct 14, 2024 • 52
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Paper • 2410.10139 • Published Oct 14, 2024 • 52
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models Paper • 2410.10139 • Published Oct 14, 2024 • 52
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding Paper • 2406.07471 • Published Jun 11, 2024 • 1
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models Paper • 2407.05131 • Published Jul 6, 2024 • 24
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding Paper • 2311.14064 • Published Nov 23, 2023 • 1
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding Paper • 2310.13347 • Published Oct 20, 2023
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations Paper • 2406.06384 • Published Jun 10, 2024 • 1
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Paper • 2406.06007 • Published Jun 10, 2024 • 2
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Paper • 2305.04536 • Published May 8, 2023 • 1