https://github.com/Chen-Yang-Liu/Awesome-RS-SpatioTemporal-VLMs
Remote Sensing Temporal Vision-Language Models: A Comprehensive Survey
Papers with Code 아카이브
Multimodal Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/FunAudioLLM/ThinkSound
https://github.com/Jeremyyny/Value-Spectrum
https://github.com/MindCode-4/code-14/tree/main/CAJ
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
https://github.com/aidc-ai/parrot
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
https://github.com/chaoyuhao/AnomalyR1
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
https://github.com/fudandisc/reform-eval
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/humanmllm/r1-omni
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
https://github.com/ieellee/ullsam
Unifying Segment Anything in Microscopy with Multimodal Large Language Model
https://github.com/kakaobrain/honeybee
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/knowlab/bi-weekly-paper-presentation
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
https://github.com/llavar/llavar-2
https://github.com/lntzm/cvpr24track-longvideo
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
https://github.com/luisrui/Modality-Interference-in-MLLMs
Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models
https://github.com/naver-ai/jood
https://github.com/peizeli96/MHys
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
https://github.com/pwc-1/Paper-9/tree/main/2/minigpt4
https://github.com/pwc-1/Paper-9/tree/main/6/CAJ/src/models
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
https://github.com/qizekun/ReCon
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
https://github.com/rabiulcste/vqazero
Kosmos-2: Grounding Multimodal Large Language Models to the World
https://github.com/runpeidong/act
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
https://github.com/vargpt-family/vargpt-v1.1
https://github.com/yu-yang-li/starglm
Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.