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Object Hallucination

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/yellow-binary-tree/pfram

공식 코드

Understanding Multimodal Hallucination with Parameter-Free Representation Alignment

https://github.com/yikai-wang/asuka-misato

공식 코드

Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency

https://github.com/yiyangzhou/lure

공식 코드

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

https://github.com/yuchenliu98/comm

공식 코드

From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models

https://github.com/yufang-liu/clip_hallucination

공식 코드

Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models

https://github.com/zyq0000/gama

공식 코드

Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks

https://github.com/FuxiaoLiu/LRV-Instruction

Evaluating Object Hallucination in Large Vision-Language Models

https://github.com/LisaAnne/Hallucination

Object Hallucination in Image Captioning

https://github.com/MindSpore-scientific-2/code-14/tree/main/llava

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

https://github.com/OpenBMB/MiniCPM-o

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness

https://github.com/PKU-YuanGroup/Video-LLaVA

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

https://github.com/Sreyan88/GAMA

Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models

https://github.com/andy9705/SumGD

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding

https://github.com/aoidragon/pope

Evaluating Object Hallucination in Large Vision-Language Models

https://github.com/d-ailin/blind-faith-in-text

Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided Decoding

https://github.com/damo-nlp-sg/inf-clip

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

https://github.com/huofushuo/SID

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

https://github.com/mengchuang123/vasparse-github

Evaluating Object Hallucination in Large Vision-Language Models

https://github.com/openbmb/minicpm-v

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness

https://github.com/p1k0pan/ICD

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

https://github.com/rlhf-v/rlhf-v

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness

https://github.com/shawnhuang497/bird

Ferret: Refer and Ground Anything Anywhere at Any Granularity

https://github.com/xinding-sys/StreamMind

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

https://github.com/ziwei-zheng/nullu

Evaluating Object Hallucination in Large Vision-Language Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.