https://github.com/aidc-ai/parrot
Wings: Learning Multimodal LLMs without Text-only Forgetting
Papers with Code 아카이브
Visual Question Answering
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 5
- 평가표
- 30
- 보존된 평가 기록
- 334
MLLM Leaderboard
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ajaykrishnan23/Grad_Cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ajenningsfrankston/Dynamic-Memory-Network-Plus-master
Dynamic Memory Networks for Visual and Textual Question Answering
https://github.com/alab-nii/eval_vl_glue
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/albertotestoni/ndq_visual_objects
https://github.com/alibaba-damo-academy/VCBench
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
https://github.com/alibaba/graphtranslator
https://github.com/allenai/allennlp-models
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
https://github.com/allenai/pythia
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
https://github.com/allenai/visprog
Visual Programming: Compositional visual reasoning without training
https://github.com/alpha-vllm/lumina-t2x
https://github.com/amitakamath/hard_positives
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/andreiluca96/reversed-vqa
Visual Question Answering: Datasets, Algorithms, and Future Challenges
https://github.com/andy9705/SumGD
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
https://github.com/anilkarabulut/copy-LeNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/anisha2102/docvqa
https://github.com/ankurtaly/Attributions
https://github.com/ankurtaly/Integrated-Gradients
https://github.com/aoidragon/pope
Evaluating Object Hallucination in Large Vision-Language Models
https://github.com/ap229997/Conditional-Batch-Norm
https://github.com/apugoneappu/ask_me_anything
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
https://github.com/apugoneappu/vqa_visualise
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
https://github.com/arjunakula/neurips2021
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/arunmallya/simple-vqa
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
https://github.com/arya46/VQA_HieCoAtt
Hierarchical Question-Image Co-Attention for Visual Question Answering
https://github.com/ashishpatel26/GRADCAM-Tensorflow2-Visual-Explainable-AI
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/autonomousvision/carla_garage
https://github.com/aviatesk/street-feature-analysis
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ayulockin/interpretabilitycnn
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/b-faye/lightmdetr
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/baai-dcai/segvol
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
https://github.com/baaivision/emu3
https://github.com/baaivision/eva
https://github.com/baichuan-inc/Baichuan-Omni-1.5
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
https://github.com/bareblackfoot/faster-rcnn.selection
https://github.com/bareblackfoot/lddp-tf-faster-rcnn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.