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https://deepai.org/publication/coarse-to-fine-entity-representations-for-document-level-relation-extraction Coarse-to-Fine Entity Representations for Document-level Relation Extraction | DeepAI Dec 4, 2020 - 12/04/20 - Document-level Relation Extraction (RE) requires extracting relations expressed within and across sentences. Recent works show tha... coarse to fine relation extraction entity representations https://huggingface.co/papers/2201.02732 Paper page - C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System Join the discussion on this paper page coarse to fine https://openreview.net/forum?id=o4neHaKMlse Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone | OpenReview Vision-language (VL) pre-training has recently received considerable attention. However, most existing end-to-end pre-training approaches either only aim to... coarse to fine https://openreview.net/forum?id=HhUmPH22Vpn CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration | OpenReview We present CoFiNet - Coarse-to-Fine Network which extracts hierarchical correspondences from coarse to fine for point cloud registration. coarse to fine reliable https://openreview.net/forum?id=q9jQPA6zPK Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design | OpenReview Multi-cellular robot design aims to create robots comprised of numerous cells that can be efficiently controlled to perform diverse tasks. Previous research... coarse to fine robot design leveraging hyperbolic embeddings https://openreview.net/forum?id=-wDaB590pkt Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training |... Modern supervised learning neural network models require a large amount of manually labeled data, which makes the construction of domain-specific knowledge... coarse to fine https://arxiv.org/abs/2511.22707 [2511.22707] CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation Abstract page for arXiv paper 2511.22707: CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation coarse to fine 2511 tokenization generative recommendation https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2019.02068/full Frontiers | Coarse to Fine Audio-Visual Size Correspondences Develop During Primary School Age Developmental studies have shown that children can associate visual size with non-visual and apparently unrelated stimuli, such as pure tone frequencies. Mo... coarse to fine https://www.mdpi.com/1424-8220/20/15/4177 A Panoramic Localizer Based on Coarse-to-Fine Descriptors for Navigation Assistance Visual Place Recognition (VPR) addresses visual instance retrieval tasks against discrepant scenes and gives precise localization. During a traverse, the... coarse to fine based on https://arxiv.org/abs/2307.07142v2 [2307.07142v2] Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration Abstract page for arXiv paper 2307.07142v2: Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration coarse to fine https://openreview.net/forum?id=iIT02bAKzv ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models | OpenReview Large Vision-Language Models (LVLMs) can understand the world comprehensively by integrating rich information from different modalities, achieving remarkable... coarse to fine https://openreview.net/forum?id=19Ukgqdlfg Coarse-to-Fine Text-to-Music Latent Diffusion | OpenReview We introduce DiscoDiff, a text-to-music generative model that utilizes two latent diffusion models to produce high-fidelity 44.1kHz music hierarchically. Our... coarse to fine text music latent diffusion https://deepai.org/publication/top-down-networks-a-coarse-to-fine-reimagination-of-cnns Top-Down Networks: A coarse-to-fine reimagination of CNNs | DeepAI Apr 16, 2020 - 04/16/20 - Biological vision adopts a coarse-to-fine information processing pathway, from initial visual detection and binding of salient fea... coarse to fine top down networks