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Visual Question Answering

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하위 태스크

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평가표

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보존된 평가 기록

334

코드

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

https://github.com/gorjanradevski/revisiting-spatial-temporal-layouts

공식 코드

Revisiting spatio-temporal layouts for compositional action recognition

https://github.com/gpantaz/probing-resamplers

공식 코드

Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers

https://github.com/groundlight/vlm-visual-demonstrations

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Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?

https://github.com/guangyans/sys2-llava

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Visual Agents as Fast and Slow Thinkers

https://github.com/guanjinquan/cxrtrek

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Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning

https://github.com/guoyang9/AdaVQA

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AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss

https://github.com/guoyang9/class-imbalance-VQA

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Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View

https://github.com/guoyang9/unifer

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A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA

https://github.com/guoyang9/unk-vqa

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UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models

https://github.com/guoyang9/vqa-prior

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Quantifying and Alleviating the Language Prior Problem in Visual Question Answering

https://github.com/hackerchenzhuo/LaKo

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LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection

https://github.com/hamzeiehsan/questions-to-geosparql

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Translating Place-Related Questions to GeoSPARQL Queries

https://github.com/hao840/adem-vl

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ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning

https://github.com/haochen-wang409/droppos

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DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

https://github.com/haochenz11/iref-vla

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IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D Scenes

https://github.com/haodongze/self-ksel-qans

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Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering

https://github.com/haonan-li/lamb

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Location Aware Modular Biencoder for Tourism Question Answering

https://github.com/haoningwu3639/SpatialScore

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SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding

https://github.com/haotian-liu/LLaVA

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Visual Instruction Tuning

https://github.com/haoyu-bu/CAFe

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CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

https://github.com/harshraj22/vqa

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Multi-Image Visual Question Answering

https://github.com/harvardnlp/var-attn

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Latent Alignment and Variational Attention

https://github.com/hashmatshadab/robust-llava

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Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models

https://github.com/hazel-heejeong-nam/vague

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Visual Contexts Clarify Ambiguous Expressions: A Benchmark Dataset

https://github.com/hchoi256/i-halla-v1.0

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Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering

https://github.com/hcplab-sysu/cmcir

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Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

https://github.com/heendung/ii-mmr

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II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering

https://github.com/heendung/simpleaug

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Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering

https://github.com/heliossun/sq-llava

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SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant

https://github.com/heliossun/stllava-med

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STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answering

https://github.com/hendryx-scale/mhal-detect

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Detecting and Preventing Hallucinations in Large Vision Language Models

https://github.com/hfmei/veattack-lvlm

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VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models

https://github.com/hfutml/calibration-mllm

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Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models

https://github.com/hiba-meiruan/urdu-vqa-dataset-

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Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question Answering

https://github.com/hieunghia-pat/ViConsFormer

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ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question Answering

https://github.com/hieunghia-pat/openvivqa-dataset

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OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual Question Answering in Vietnamese

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