https://github.com/moein-shariatnia/OpenAI-CLIP
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Visual Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 12
- 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/muzairkhattak/multimodal-prompt-learning
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/nahidalam/open_clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/naver/artemis
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
https://github.com/ndrwmlnk/awesome-benchmarks-for-physical-reasoning-ai
https://github.com/ninatu/howtocaption
https://github.com/nopperl/clip_arxiv_pmc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/opendatalab/pm4bench
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/pliang279/multiviz
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
https://github.com/prabhupad26/100daysofML
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/princeton-nlp/CharXiv
https://github.com/pseulki/rococo
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pwc-1/Paper-8/tree/main/blip
https://github.com/pwc-1/Paper-8/tree/main/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/pwc-1/Paper-9/tree/main/5/vipllava
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
https://github.com/pwc-1/Paper-9/tree/main/5/visual_bert
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://github.com/qiujihao19/artemis
https://github.com/rabiulcste/vqazero
https://github.com/ramanakshay/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/redcaps-dataset/redcaps-downloader
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/rinnakk/japanese-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/rohitbhaskar/online-ads-repository
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/ronilp/mac-network-pytorch-gqa
https://github.com/rosinality/mac-network-pytorch
https://github.com/rowanz/merlot
https://github.com/rowanz/r2c
https://github.com/rs9000/VisualReasoning_MMnet
https://github.com/ruipingl/opensu
Collaborative Transformers for Grounded Situation Recognition
https://github.com/ruotianluo/iep-ref
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
https://github.com/s-a-malik/multi-few
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sajjjadayobi/CLIPfa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/salanueva/UniVSE
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/salesforce/ALBEF
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
https://github.com/salesforce/blip
https://github.com/salesforce/pb-ovd
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sberbank-ai/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.