https://github.com/jules-samaran/vl-bert
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Papers with Code 아카이브
Image Retrieval with Multi-Modal Query
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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/juletx/image-caption-generation
https://github.com/kadarakos/mulisera
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/kakaobrain/coyo-dataset
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
https://github.com/kauravin/Neural-Visual-Image-Caption-Generation-using-RNNs-and-LSTMs
https://github.com/kdaip/stabletts
https://github.com/kenkai21/Image_Captioning
https://github.com/keonlee9420/Daft-Exprt
https://github.com/khazarkhorrami/VGS_alignment
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models
https://github.com/kimhc6028/relational-networks
https://github.com/kinshingpoon/swan-pytorch
https://github.com/kirbiyik/caption-it
https://github.com/klemens-floege/oneprot
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/koles289/udacity-Image-Captioning
https://github.com/komiya-m/MirrorGAN
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
https://github.com/kyegomez/PALI3
https://github.com/kynkaat/role-of-imagenet-classes-in-fid
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/leob03/Image_captionning
https://github.com/leolee99/2022-neurips-daa
https://github.com/leolee99/CLIP_ITM
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/leolee99/osa
https://github.com/leosampaio/sketchformer
Sketchformer: Transformer-based Representation for Sketched Structure
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/longjj/Caffe-SGDR
https://github.com/lucidrains/CoCa-pytorch
CoCa: Contrastive Captioners are Image-Text Foundation Models
https://github.com/lucidrains/flamingo-pytorch
https://github.com/lucidrains/mammut-pytorch
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
https://github.com/lucidrains/musiclm-pytorch
MuLan: A Joint Embedding of Music Audio and Natural Language
https://github.com/lunaproject22/rpa
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/luzhixiu/radclip
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
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/mahmoodlab/trident
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.