{"url":"/method/dma","slug":"dma","name":"DMA","full_name":"Dual Multimodal Attention","full_name_withheld":false,"description_markdown":"In image inpainting task, the mechanism extracts complementary features from the word embedding in two paths by reciprocal attention, which is done by comparing the descriptive text and complementary image areas through reciprocal attention.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Text-Guided Neural Image Inpainting","paper":"/paper/neural-image-inpainting-guided-with","first_author":"Lisai Zhang","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/neural-image-inpainting-guided-with"},"source":{"url":"https://arxiv.org/abs/2004.03212v4","title":"Text-Guided Neural Image Inpainting","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Attention Mechanisms","url":"/methods/category/attention-mechanisms","pwc_aliases":["attention-mechanisms-1"]}],"n_papers_tagged":39,"archive_num_papers":39,"papers_newest_first":[{"paper":null,"title":"Analysis of Null Related Beampattern Measures and Signal Quantization Effects for Linear Differential Microphone Arrays","date":"2025-06-26","arxiv_id":"2506.21043","n_code_links":0,"syntology":null},{"paper":null,"title":"Effect of Signal Quantization on Performance Measures of a 1st Order One Dimensional Differential Microphone Array","date":"2025-06-18","arxiv_id":"2506.15463","n_code_links":0,"syntology":null},{"paper":null,"title":"Semi-Blind Channel Estimation for Downlink Communications Based on Dynamic Metasurface Antennas","date":"2025-06-14","arxiv_id":"2506.12639","n_code_links":0,"syntology":null},{"paper":null,"title":"End-to-End Dynamic Metasurface Antenna Wireless System: Prototype, Opportunities, and Challenges","date":"2025-06-11","arxiv_id":"2506.09732","n_code_links":0,"syntology":null},{"paper":null,"title":"DMA Reception for Simultaneous Area-Wide Sensing and Multi-User Uplink Communications","date":"2025-04-26","arxiv_id":"2504.18843","n_code_links":0,"syntology":null},{"paper":null,"title":"How Do Microstrip Losses Impact Near-Field Beam Depth in Dynamic Metasurface Antennas?","date":"2025-03-15","arxiv_id":"2503.12280","n_code_links":0,"syntology":null},{"paper":null,"title":"Near-Field Localization with Dynamic Metasurface Antennas at THz: A CRB Minimizing Approach","date":"2025-02-23","arxiv_id":"2502.16647","n_code_links":0,"syntology":null},{"paper":null,"title":"Urban Water Consumption Forecasting Using Deep Learning and Correlated District Metered Areas","date":"2024-12-30","arxiv_id":"2501.00158","n_code_links":0,"syntology":null},{"paper":null,"title":"LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System","date":"2024-12-28","arxiv_id":"2412.20166","n_code_links":0,"syntology":null},{"paper":"/paper/flex-pe-flexible-and-simd-multi-precision","title":"Flex-PE: Flexible and SIMD Multi-Precision Processing Element for AI Workloads","date":"2024-12-16","arxiv_id":"2412.11702","n_code_links":1,"syntology":null},{"paper":null,"title":"Mutual Coupling in Dynamic Metasurface Antennas: Foe, but also Friend","date":"2024-12-01","arxiv_id":"2412.01002","n_code_links":0,"syntology":null},{"paper":"/paper/frequency-selective-beamforming-and-single","title":"Frequency-selective beamforming and single-shot beam training with dynamic metasurface antennas","date":"2024-11-29","arxiv_id":"2412.00215","n_code_links":1,"syntology":null},{"paper":null,"title":"Circuit-Compliant Optimization of Dynamic Metasurface Antennas for Near-Field Localization","date":"2024-11-14","arxiv_id":"2411.09362","n_code_links":0,"syntology":null},{"paper":null,"title":"A Block Quantum Genetic Interference Mitigation Algorithm for Dynamic Metasurface Antennas and Field Trials","date":"2024-10-21","arxiv_id":"2410.15803","n_code_links":0,"syntology":null},{"paper":null,"title":"Heterogeneous Graph Reinforcement Learning for Dependency-aware Multi-task Allocation in Spatial Crowdsourcing","date":"2024-10-20","arxiv_id":"2410.15449","n_code_links":0,"syntology":null},{"paper":null,"title":"Robust Beamforming Design for Near-Field DMA-NOMA mmWave Communications With Imperfect Position Information","date":"2024-09-24","arxiv_id":"2409.15894","n_code_links":0,"syntology":null},{"paper":null,"title":"Hardware Limitations of Dynamic Metasurface Antennas in the Uplink: A Comparative Study","date":"2024-07-30","arxiv_id":"2407.20988","n_code_links":0,"syntology":null},{"paper":null,"title":"Beam Focusing for Near-Field Multi-User Localization","date":"2024-07-24","arxiv_id":"2407.20264","n_code_links":0,"syntology":null},{"paper":null,"title":"Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding","date":"2024-07-13","arxiv_id":"2407.09781","n_code_links":0,"syntology":null},{"paper":null,"title":"Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform","date":"2024-05-29","arxiv_id":"2405.19284","n_code_links":0,"syntology":null},{"paper":null,"title":"Super Apps and the Digital Markets Act","date":"2024-04-06","arxiv_id":"2404.04506","n_code_links":0,"syntology":null},{"paper":"/paper/di-v2x-learning-domain-invariant","title":"DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection","date":"2023-12-25","arxiv_id":"2312.15742","n_code_links":1,"syntology":null},{"paper":null,"title":"Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas","date":"2023-10-30","arxiv_id":"2310.19767","n_code_links":0,"syntology":null},{"paper":null,"title":"AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI","date":"2023-07-07","arxiv_id":"2308.02033","n_code_links":0,"syntology":null},{"paper":null,"title":"Energy Beamforming for RF Wireless Power Transfer with Dynamic Metasurface Antennas","date":"2023-07-03","arxiv_id":"2307.01082","n_code_links":0,"syntology":null},{"paper":null,"title":"Waveform Optimization and Beam Focusing for Near-field Wireless Power Transfer with Dynamic Metasurface Antennas and Non-linear Energy Harvesters","date":"2023-07-03","arxiv_id":"2307.01081","n_code_links":0,"syntology":null},{"paper":"/paper/vpuformer-visual-prompt-unified-transformer","title":"PVPUFormer: Probabilistic Visual Prompt Unified Transformer for Interactive Image Segmentation","date":"2023-06-11","arxiv_id":"2306.06656","n_code_links":2,"syntology":null},{"paper":null,"title":"Hierarchical Codebook Design with Dynamic Metasurface Antennas for Energy-Efficient Arrays","date":"2023-05-15","arxiv_id":"2305.09016","n_code_links":0,"syntology":null},{"paper":null,"title":"Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application","date":"2023-01-12","arxiv_id":"2301.04829","n_code_links":0,"syntology":null},{"paper":"/paper/electromagnetic-based-communication-model-for","title":"Electromagnetic Based Communication Model for Dynamic Metasurface Antennas","date":"2022-12-22","arxiv_id":"2212.11594","n_code_links":1,"syntology":null}],"papers_shown":30,"tasks":[{"task":null,"name":"Position","papers":3},{"task":"/task/fairness","name":"Fairness","papers":2},{"task":"/task/object-detection","name":"Object Detection","papers":2},{"task":"/task/quantization","name":"Quantization","papers":2},{"task":"/task/scene-understanding","name":"Scene Understanding","papers":2},{"task":"/task/semantic-segmentation","name":"Semantic Segmentation","papers":2},{"task":"/task/object-detection-1","name":"object-detection","papers":2},{"task":"/task/3d-object-detection","name":"3D Object Detection","papers":1},{"task":"/task/data-augmentation","name":"Data Augmentation","papers":1},{"task":"/task/data-poisoning","name":"Data Poisoning","papers":1},{"task":"/task/decoder","name":"Decoder","papers":1},{"task":"/task/deep-learning","name":"Deep Learning","papers":1},{"task":"/task/descriptive","name":"Descriptive","papers":1},{"task":"/task/diversity","name":"Diversity","papers":1},{"task":"/task/federated-learning","name":"Federated Learning","papers":1},{"task":null,"name":"GPU","papers":1},{"task":"/task/graph-attention","name":"Graph Attention","papers":1},{"task":"/task/image-generation","name":"Image Generation","papers":1},{"task":"/task/image-inpainting","name":"Image Inpainting","papers":1},{"task":"/task/image-segmentation","name":"Image Segmentation","papers":1}],"tasks_shown":20,"n_tasks":35,"usage_by_year":[{"year":"2020","papers":1},{"year":"2021","papers":3},{"year":"2022","papers":6},{"year":"2023","papers":8},{"year":"2024","papers":14},{"year":"2025","papers":7}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/dma"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}