https://github.com/lsh-ahu/icpl-reid
공식 코드ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification
Papers with Code 아카이브
cross-modal alignment
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ltpwy/msci
공식 코드MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning
https://github.com/lxchtan/omnidrca
공식 코드https://github.com/lyf1212/color-turbo
공식 코드https://github.com/ma-kjh/CMA-OoDD
공식 코드Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations
https://github.com/manhph2211/d-beta
공식 코드Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
https://github.com/markin-wang/camanet
공식 코드CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation
https://github.com/mathllm/mathcoder
공식 코드MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
https://github.com/mellody11/less
공식 코드LESS: Label-Efficient and Single-Stage Referring 3D Segmentation
https://github.com/microsoft/BridgeTower
공식 코드BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning
https://github.com/microsoft/unilm/tree/master/layoutlmv3
공식 코드LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
https://github.com/ming-er/mga-clap
공식 코드Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-training
https://github.com/mk-runner/FSE
공식 코드Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
https://github.com/mk-runner/sei
공식 코드https://github.com/mshukor/vicha
공식 코드Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment
https://github.com/mt-cly/simcmf
공식 코드https://github.com/mul-hjh/acsa
공식 코드Asymmetric Cross-Scale Alignment for Text-Based Person Search
https://github.com/ola-omni/ola
공식 코드https://github.com/onmyoji-xiao/3dvg_secg
공식 코드SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph Attention
https://github.com/opengvlab/unmasked_teacher
공식 코드Unmasked Teacher: Towards Training-Efficient Video Foundation Models
https://github.com/peterlipan/fof
공식 코드https://github.com/pter61/aligncmss
공식 코드Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search
https://github.com/pvit-official/pvit
공식 코드Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models
https://github.com/rafiibnsultan/bipvl-seg
공식 코드https://github.com/rekkles2/Gaze-CIFAR-10
공식 코드Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification
https://github.com/researchmm/mm-diffusion
공식 코드MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
https://github.com/rzhao-zhsq/cv-slt
공식 코드Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
https://github.com/salesforce/alpro
공식 코드Align and Prompt: Video-and-Language Pre-training with Entity Prompts
https://github.com/sankin97/logonet
공식 코드LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
https://github.com/sarahesl/alignclip
공식 코드Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP
https://github.com/shaopengw/Awesome-Music-Generation
공식 코드https://github.com/shikiw/modality-integration-rate
공식 코드Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
https://github.com/shuanglinyan/CFine
공식 코드CLIP-Driven Fine-grained Text-Image Person Re-identification
https://github.com/sts-vlcc/sts-vlcc
공식 코드https://github.com/sumin124/mv-clam
공식 코드MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model
https://github.com/tbenst/silent_speech
공식 코드A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.