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cross-modal alignment
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fuying-wang/mgca
공식 코드Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
https://github.com/ganchaofan0000/DAC
공식 코드DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction
https://github.com/gautierdag/cast
공식 코드CAST: Cross-modal Alignment Similarity Test for Vision Language Models
https://github.com/haon-chen/mme5
공식 코드mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
https://github.com/happylittlecat2333/Auffusion
공식 코드Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation
https://github.com/hku-medai/hyperpath
공식 코드HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis
https://github.com/honee-w/u-sam
공식 코드U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding
https://github.com/humanlab/whispa
공식 코드https://github.com/hwang-cs-ime/hcma
공식 코드HCMA: Hierarchical Cross-model Alignment for Grounded Text-to-Image Generation
https://github.com/iCVTEAM/DanceIt
공식 코드https://github.com/ictnlp/lnmt-ca
공식 코드Low-resource Neural Machine Translation with Cross-modal Alignment
https://github.com/idea-xl/presto
공식 코드PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
https://github.com/iigroup/scl
공식 코드Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning
https://github.com/iqua/vggbase
공식 코드https://github.com/jasonarmitage-res/pm-vln
공식 코드A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues
https://github.com/jaulin-bage/task-adapter-pp
공식 코드Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
https://github.com/jeykigung/hiclip
공식 코드HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
https://github.com/jialuli-luka/SyntaxVLN
공식 코드Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
https://github.com/jiangxinni/d2a2
공식 코드https://github.com/jinfeng-xu/mentor
공식 코드MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
https://github.com/jingchensun/craft
공식 코드Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
https://github.com/kaistmm/SSLalignment
공식 코드Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
https://github.com/katerynaCh/MMA-DFER
공식 코드https://github.com/kdariina/clip-not-bow-unimodally
공식 코드CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
https://github.com/kehanlu/desta2.5-audio
공식 코드https://github.com/kpeng9510/os-sar
공식 코드Navigating Open Set Scenarios for Skeleton-based Action Recognition
https://github.com/kyanchen/rsrefseg2
공식 코드RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
https://github.com/lanxiang1017/gem
공식 코드GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
https://github.com/linhuixiao/hivg
공식 코드HiVG: Hierarchical Multimodal Fine-grained Modulation for Visual Grounding
https://github.com/liu12366262626/alignvsr
공식 코드AlignVSR: Audio-Visual Cross-Modal Alignment for Visual Speech Recognition
https://github.com/liuting20/mapper
공식 코드MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
https://github.com/liuting20/swimvg
공식 코드SwimVG: Step-wise Multimodal Fusion and Adaption for Visual Grounding
https://github.com/llm-lab-org/multimodal-rag-survey
공식 코드Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
https://github.com/lntzm/mesm
공식 코드Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
https://github.com/looperxx/managertower
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.