https://github.com/PaddlePaddle/PASSL/blob/main/docs/Train_CLIP_model.md
Learning Transferable Visual Models From Natural Language Supervision
Papers with Code 아카이브
Image Retrieval with Multi-Modal Query
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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The problem of retrieving images from a database based on a multi-modal (image- text) query. Specifically, the query text prompts some modification in the query image and the task is to retrieve images with the desired modifications.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/PaddlePaddle/Research
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
https://github.com/PaddlePaddle/Research/tree/master/NLP/UNIMO
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
https://github.com/Pillercottrer/radcap_project
https://github.com/Pranav-Patil-7/Automatic_Image_Captioning_Project
https://github.com/Riadh-B/MTFN-RR-PyTorch-Code-master
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
https://github.com/SDLZY/VCR_Align
https://github.com/SathwikTejaswi/Neural-Image-Captioning
https://github.com/SforAiDl/CountCLIP
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/Shuvrajit9904/PairedCycleGAN-tf
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/ThanThoai/Visual-Question-Answering_Vietnamese
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
https://github.com/TilakD/Image-Captioning
https://github.com/VL-Group/2022-NeurIPS-DAA
https://github.com/Victor-Martinez-Pozos/stacked_capsule_autoencoders
https://github.com/Vigneshthanga/stackGAN-v2
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/VinitSR7/Image-Caption-Generation
https://github.com/Wence-May/Image-Annotation
https://github.com/WendellGul/DCMH
https://github.com/XLearning-SCU/2021-NeurIPS-NCR
https://github.com/XLearning-SCU/2024-TIP-CREAM
https://github.com/YIKUAN8/Transformers-VQA
https://github.com/YingZhangDUT/Cross-Modal-Projection-Learning
https://github.com/YuZiHanorz/stacked_capsule_autoencoders
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/ZenzenDatabase/CMR_audiovisual
Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-modal Retrieval
https://github.com/a736875071/clip-vit-large-patch14
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/abhidipbhattacharyya/srl_aware_ret
https://github.com/adlnlp/attention_vl
https://github.com/adriangoe/relational-networks-pytorch
https://github.com/ag17sep/Image-Captioning-Project
https://github.com/ai-forever/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ai-hpc-research-team/git-mol
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/ai-hpc-research-team/slm4mol
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
https://github.com/ajayjain/vectorascent
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/aleksey-egorov/attngan
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.