LLM-VLM Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Paper • 2311.06242 • Published Nov 10, 2023 • 96 CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark Paper • 2401.11944 • Published Jan 22, 2024 • 27
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Paper • 2311.06242 • Published Nov 10, 2023 • 96
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark Paper • 2401.11944 • Published Jan 22, 2024 • 27
AIGC Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Paper • 2402.17177 • Published Feb 27, 2024 • 87
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Paper • 2402.17177 • Published Feb 27, 2024 • 87
LLM-VLM Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Paper • 2311.06242 • Published Nov 10, 2023 • 96 CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark Paper • 2401.11944 • Published Jan 22, 2024 • 27
Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks Paper • 2311.06242 • Published Nov 10, 2023 • 96
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark Paper • 2401.11944 • Published Jan 22, 2024 • 27
AIGC Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Paper • 2402.17177 • Published Feb 27, 2024 • 87
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Paper • 2402.17177 • Published Feb 27, 2024 • 87
