Results 21 to 30 of about 772,396 (66)
Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation [PDF]
International Symposium on Mixed and Augmented Reality, 2022 In this work, we present a dense tracking and mapping system named Vox-Fusion, which seamlessly fuses neural implicit representations with traditional volumetric fusion methods.
Xingrui Yang +5 more
semanticscholar +1 more source
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Various techniques have been developed in recent years to improve dense retrieval (DR), such as unsupervised contrastive learning and pseudo-query generation.
Sheng-Chieh Lin +7 more
semanticscholar +1 more source
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields [PDF]
IEEE/RJS International Conference on Intelligent RObots and Systems, 2022 We propose a novel geometric and photometric 3D mapping pipeline for accurate and real-time scene reconstruction from casually taken monocular images.
Antoni Rosinol, J. Leonard, L. Carlone
semanticscholar +1 more source
Promptagator: Few-shot Dense Retrieval From 8 Examples [PDF]
International Conference on Learning Representations, 2022 Much recent research on information retrieval has focused on how to transfer from one task (typically with abundant supervised data) to various other tasks where supervision is limited, with the implicit assumption that it is possible to generalize from ...
Zhuyun Dai +9 more
semanticscholar +1 more source
DKM: Dense Kernelized Feature Matching for Geometry Estimation [PDF]
Computer Vision and Pattern Recognition, 2022 Feature matching is a challenging computer vision task that involves finding correspondences between two images of a 3D scene. In this paper we consider the dense approach instead of the more common sparse paradigm, thus striving to find all ...
Johan Edstedt +3 more
semanticscholar +1 more source
Dense Nested Attention Network for Infrared Small Target Detection [PDF]
IEEE Transactions on Image Processing, 2021 Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded promising results in generic object detection due to their powerful ...
Boyang Li +7 more
semanticscholar +1 more source
Dense Text Retrieval Based on Pretrained Language Models: A Survey [PDF]
ACM Trans. Inf. Syst., 2022 Text retrieval is a long-standing research topic on information seeking, where a system is required to return relevant information resources to user’s queries in natural language. From heuristic-based retrieval methods to learning-based ranking functions,
Wayne Xin Zhao +3 more
semanticscholar +1 more source
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed [PDF]
Computer Vision and Pattern RecognitionWe present a novel method for efficiently producing semi-dense matches across images. Previous detector-free matcher LoFTR has shown remarkable matching capability in handling large-viewpoint change and texture-poor scenarios but suffers from low ...
Yifan Wang +4 more
semanticscholar +1 more source
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion [PDF]
Computer Vision and Pattern Recognition, 2022 Current LiDAR-only 3D detection methods inevitably suffer from the sparsity of point clouds. Many multi-modal methods are proposed to alleviate this issue, while different representations of images and point clouds make it difficult to fuse them ...
Xiaopei Wu +7 more
semanticscholar +1 more source
RS-Mamba for Large Remote Sensing Image Dense Prediction [PDF]
IEEE Transactions on Geoscience and Remote SensingContext modeling is critical for remote sensing image dense prediction tasks. Nowadays, the growing size of very-high-resolution (VHR) remote sensing images poses challenges in effectively modeling context.
Sijie Zhao +5 more
semanticscholar +1 more source