Papers with Code 아카이브
Visual Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 192
Ability to understand actions and reasoning associated with any visual images
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kdaip/stabletts
https://github.com/kdr/videorag-mrr2024
https://github.com/keonlee9420/Daft-Exprt
https://github.com/klemens-floege/oneprot
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/kynkaat/role-of-imagenet-classes-in-fid
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/lalithjets/surgical_vqa
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://github.com/lastmile-ai/aiconfig
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
https://github.com/leloykun/mmfm-challenge
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/leolee99/CLIP_ITM
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/lichengunc/pretrain-vl-data
https://github.com/linjieli222/hero_video_feature_extractor
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/linzhiqiu/clip-flant5
https://github.com/llava-annonymous/llava
https://github.com/longbai1006/surgical-vqla
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://github.com/lucidrains/CoCa-pytorch
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/lunaproject22/rpa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/lyan62/data-curation
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks
https://github.com/madrylab/pretraining-distribution-shift-robustness
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mainaksingha01/applenet
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mainaksingha01/odg-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mcgill-nlp/incontext-code-generation
A Corpus for Reasoning About Natural Language Grounded in Photographs
https://github.com/mertyg/post-hoc-cbm
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/michi-3000/eyeclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/microsoft/Oscar
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/microsoft/xpretrain
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
https://github.com/mikomel/machine-number-sense
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning
https://github.com/minhanh151/pre
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/minhanh151/respro
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mitjanikolaus/compositional-image-captioning
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/mitvis/vistext
https://github.com/mkhalil1998/EC601_Group_Project
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/ml-jku/cloob
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlbio-epfl/turtle
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/mlfoundations/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/modelscope/modelscope
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.