Results 11 to 20 of about 772,396 (66)
DDP: Diffusion Model for Dense Visual Prediction [PDF]
IEEE International Conference on Computer Vision, 2023 We propose a simple, efficient, yet powerful framework for dense visual predictions based on the conditional diffusion pipeline. Our approach follows a "noise-to-map" generative paradigm for prediction by progressively removing noise from a random ...
Yuanfeng Ji +8 more
semanticscholar +1 more source
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting [PDF]
Computer Vision and Pattern Recognition, 2023 In this paper, we introduce GS-SLAM that first utilizes 3D Gaussian representation in the Simultaneous Localization and Mapping (SLAM) system. It facilitates a better bal-ance between efficiency and accuracy.
Chi Yan +6 more
semanticscholar +1 more source
Residual Dense Network for Image Super-Resolution [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 A very deep convolutional neural network (CNN) has recently achieved great success for image super-resolution (SR) and offered hierarchical features as well.
Yulun Zhang +4 more
semanticscholar +1 more source
SqueezeLLM: Dense-and-Sparse Quantization [PDF]
International Conference on Machine Learning, 2023 Generative Large Language Models (LLMs) have demonstrated remarkable results for a wide range of tasks. However, deploying these models for inference has been a significant challenge due to their unprecedented resource requirements.
Sehoon Kim +7 more
semanticscholar +1 more source
Vision Transformer Adapter for Dense Predictions [PDF]
International Conference on Learning Representations, 2022 This work investigates a simple yet powerful dense prediction task adapter for Vision Transformer (ViT). Unlike recently advanced variants that incorporate vision-specific inductive biases into their architectures, the plain ViT suffers inferior ...
Zhe Chen +6 more
semanticscholar +1 more source
Dense Text-to-Image Generation with Attention Modulation [PDF]
IEEE International Conference on Computer Vision, 2023 Existing text-to-image diffusion models struggle to synthesize realistic images given dense captions, where each text prompt provides a detailed description for a specific image region.
Yunji Kim +4 more
semanticscholar +1 more source
Precise Zero-Shot Dense Retrieval without Relevance Labels [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 While dense retrieval has been shown to be effective and efficient across tasks and languages, it remains difficult to create effective fully zero-shot dense retrieval systems when no relevance labels are available.
Luyu Gao +3 more
semanticscholar +1 more source
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations [PDF]
International Journal of Computer Vision, 2016 Despite progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks such as image description and question answering.
Ranjay Krishna +11 more
semanticscholar +1 more source
An Ice Age JWST inventory of dense molecular cloud ices [PDF]
Nature Astronomy, 2023 Icy grain mantles are the main reservoir of the volatile elements that link chemical processes in dark, interstellar clouds with the formation of planets and the composition of their atmospheres.
M. McClure +41 more
semanticscholar +1 more source
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation [PDF]
Computer Vision and Pattern Recognition, 2023 Few-shot semantic segmentation (FSS) aims to form class-agnostic models segmenting unseen classes with only a handful of annotations. Previous methods limited to the semantic feature and prototype representation suffer from coarse segmentation ...
Bohao Peng +6 more
semanticscholar +1 more source