https://github.com/hhc1997/mscn
공식 코드Noisy Correspondence Learning with Meta Similarity Correction
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/hohsiangwu/crossmodal
공식 코드Exploring modality-agnostic representations for music classification
https://github.com/huiguanlab/dasd
공식 코드Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval
https://github.com/huiguanlab/nrccr
공식 코드Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning
https://github.com/idealwhite/tdanet
공식 코드https://github.com/iigroup/map
공식 코드MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model
https://github.com/ilaria-manco/muscaps
공식 코드https://github.com/intellabs/vectorsearchdatasets
공식 코드https://github.com/ioanacroi/qb-norm
공식 코드https://github.com/ivana-13/guided_masking
공식 코드Beyond Image-Text Matching: Verb Understanding in Multimodal Transformers Using Guided Masking
https://github.com/jackroos/VL-BERT
공식 코드VL-BERT: Pre-training of Generic Visual-Linguistic Representations
https://github.com/jaeseokbyun/grit-vlp
공식 코드GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training
https://github.com/jeffhernandez1995/GenLlaVA
공식 코드https://github.com/jiangqy/DCMH-CVPR2017
공식 코드https://github.com/kaistmm/SSLalignment
공식 코드Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
https://github.com/kdwonn/DivE
공식 코드Improving Cross-Modal Retrieval with Set of Diverse Embeddings
https://github.com/khdlr/SoundingEarth
공식 코드Self-supervised Audiovisual Representation Learning for Remote Sensing Data
https://github.com/kkzhang95/awesome-composed-multi-modal-retrieval
공식 코드Composed Multi-modal Retrieval: A Survey of Approaches and Applications
https://github.com/kuanghuei/SCAN
공식 코드https://github.com/kywen1119/DSRAN
공식 코드Learning Dual Semantic Relations with Graph Attention for Image-Text Matching
https://github.com/laion-ai/scaling-laws-openclip
공식 코드Reproducible scaling laws for contrastive language-image learning
https://github.com/lancopku/IAIS
공식 코드Learning Relation Alignment for Calibrated Cross-modal Retrieval
https://github.com/layumi/Image-Text-Embedding
공식 코드Dual-Path Convolutional Image-Text Embeddings with Instance Loss
https://github.com/lelan-li/SSAH
공식 코드Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
https://github.com/leolee99/pau
공식 코드Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
https://github.com/letitiabanana/pnp-ovss
공식 코드Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models
https://github.com/lijiabei-7/leccr
공식 코드https://github.com/linzhiqiu/visual_gpt_score
공식 코드Revisiting the Role of Language Priors in Vision-Language Models
https://github.com/lionel-hing/bic-net
공식 코드BiC-Net: Learning Efficient Spatio-Temporal Relation for Text-Video Retrieval
https://github.com/lionel-hing/vsr-net
공식 코드BiC-Net: Learning Efficient Spatio-Temporal Relation for Text-Video Retrieval
https://github.com/littleredxh/vse-gradient
공식 코드Dissecting Deep Metric Learning Losses for Image-Text Retrieval
https://github.com/liuyyy111/d2s-vse
공식 코드https://github.com/llabres/library-dataset
공식 코드https://github.com/luminosityx/fne
공식 코드Your Negative May not Be True Negative: Boosting Image-Text Matching with False Negative Elimination
https://github.com/luminosityx/hat
공식 코드Unifying Two-Stream Encoders with Transformers for Cross-Modal Retrieval
https://github.com/luomancs/remuq
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.