https://github.com/salanueva/UniVSE
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
Papers with Code 아카이브
Image Retrieval with Multi-Modal Query
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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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/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/samim23/NeuralTalkAnimator
https://github.com/saubhik/chainer-image-captioning
https://github.com/sberbank-ai/ru-clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sd2001/Auto-Image2Caption
https://github.com/sd2001/Image2Caption
https://github.com/search-opensource-space/FashionBERT
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval
https://github.com/securade/hub
Semantic-Conditional Diffusion Networks for Image Captioning
https://github.com/shangeth/Vehicle_Speed_Estimation
https://github.com/shin-ee-chen/bla
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages
https://github.com/shivammehta25/clip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/shkarupa-alex/tfclip
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/shunk031/simple-aesthetics-predictor
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/siddk/relation-network
https://github.com/sidward14/Style-AttnGAN
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/simnyatsanga/image-caption-generator
https://github.com/sincerass/mvlpt
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sithu31296/simple-object-tracking
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/sivandoveh/dac
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
https://github.com/soco-ai/SF-QA
https://github.com/soumik12345/Automatic-Number-Plate-Recognition
https://github.com/souvikshanku/digit-captioning
https://github.com/sovit-123/Deep-Learning-Image-Captioning
https://github.com/stanfordmimi/merlin
Merlin: A Vision Language Foundation Model for 3D Computed Tomography
https://github.com/stingram/CV_Image_Captioning
https://github.com/studian/CVND_P2_Image_Captioning
https://github.com/supreethub/Image-Captioning
https://github.com/taited/clip-score
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/taki0112/AttnGAN-Tensorflow
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/taoxugit/AttnGAN
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/towhee-io/towhee
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/ttok0s7u2n5/ML2_proj
https://github.com/ucsd-ml-arts/ml-art-final-jeffrey
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.