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
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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/SamsungSAILMontreal/ForestDiffusion
https://github.com/SelinaFelton/SMA
https://github.com/SforAiDl/CountCLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/TheShadow29/visual-commonsense-pytorch
https://github.com/VTOOL-R1/vtool-r1
ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
https://github.com/XingruiWang/superclevr-3D-question
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
https://github.com/YIKUAN8/Transformers-VQA
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://github.com/YvanG/VQGAN-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ZackPashkin/text2cartoon-pytorch-CLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ZhangYiqun018/StickerConv
https://github.com/a736875071/clip-vit-large-patch14
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/abwilf/social-iq-2.0-challenge
https://github.com/adapter-hub/xgqa
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
https://github.com/adlnlp/attention_vl
https://github.com/ai-forever/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ajayjain/vectorascent
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/albertotestoni/ndq_visual_objects
https://github.com/alibaba/EasyNLP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/alibaba/EasyNLP/tree/master/examples/blip_retrieval
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/visprog
Visual Programming: Compositional visual reasoning without training
https://github.com/amitakamath/hard_positives
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/amitakamath/whatsup_vlms
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/apple/ml-mobileclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/apsdehal/flava-tutorials
https://github.com/arjunakula/neurips2021
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/armaank/archlectures
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/armandvilalta/Full-network-multimodal-embeddings
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/azreasoners/CRCG
https://github.com/azshue/TPT
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baaivision/eva
https://github.com/bashivanlab/iwisdm
A Dataset and Architecture for Visual Reasoning with a Working Memory
https://github.com/baskargroup/Arboretum
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/baskargroup/biotrove
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.