https://github.com/zhangbaijin/From-Redundancy-to-Relevance
공식 코드From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks
Papers with Code 아카이브
Visual Question Answering
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhangbin-ai/apl
공식 코드Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering
https://github.com/zhangyan-ucas/TEA
공식 코드Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues
https://github.com/zhangzjn/gpt-4v-ad
공식 코드GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
https://github.com/zhanyang-nwpu/rsvg-pytorch
공식 코드RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
https://github.com/zhaohengyuan1/genixer
공식 코드Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator
https://github.com/zhaoshitian/Likelihood-Composition-Toolkit
공식 코드Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
https://github.com/zhegan27/LXMERT-AdvTrain
공식 코드Large-Scale Adversarial Training for Vision-and-Language Representation Learning
https://github.com/zhegan27/VILLA
공식 코드Large-Scale Adversarial Training for Vision-and-Language Representation Learning
https://github.com/zhengchen1999/grounding-iqa
공식 코드Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment
https://github.com/zhilingyan/gpt4v-medical-report
공식 코드Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V
https://github.com/zhjohnchan/ptunifier
공식 코드Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
https://github.com/zhougroup/BAM
공식 코드https://github.com/zhourobotics/reasondrive
공식 코드https://github.com/zhouxian/act3d-chained-diffuser
공식 코드Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
https://github.com/zhuchen03/vqa-sva
공식 코드https://github.com/zhuemann/contextualsegmentation
공식 코드ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
https://github.com/zhuyiche/llava-phi
공식 코드LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
https://github.com/zhwwwww/attribute-comprehension-of-vlms
공식 코드Evaluating Attribute Comprehension in Large Vision-Language Models
https://github.com/zihao-ai/vdc
공식 코드https://github.com/zihuaevan/acfmodel
공식 코드Adaptively Clustering Neighbor Elements for Image-Text Generation
https://github.com/zinengtang/tvlt
공식 코드https://github.com/ziqipang/lm4visualencoding
공식 코드Frozen Transformers in Language Models Are Effective Visual Encoder Layers
https://github.com/zivenzhu/multi-chart-qa
공식 코드MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
https://github.com/zjukg/kg-mm-survey
공식 코드Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
https://github.com/zlccccc/3dgqa
공식 코드Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
https://github.com/zrrskywalker/llama-adapter
공식 코드LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
https://github.com/zted/sbvqa
공식 코드https://github.com/zwenyu/SPHERE-VLM
공식 코드SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models
https://github.com/zwq2018/embodied_reasoner
공식 코드Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks
https://github.com/zyq0000/gama
공식 코드Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks
https://github.com/zytx121/awesome-vlgfm
공식 코드https://github.com/zzxslp/som-llava
공식 코드List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
https://gitlab.com/pl8787/CaffeAttention
공식 코드https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
공식 코드https://github.com/1512159/tf-faster-rcnn-medico
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.