作者: 龍蝦 時間: 2025-3-21 20:13
978-3-319-16807-4Springer International Publishing Switzerland 2015作者: Hemoptysis 時間: 2025-3-22 03:42
Daniel Cremers,Ian Reid,Ming-Hsuan YangIncludes supplementary material: 作者: 成績上升 時間: 2025-3-22 06:41 作者: 碌碌之人 時間: 2025-3-22 12:28 作者: 可忽略 時間: 2025-3-22 16:06 作者: 可忽略 時間: 2025-3-22 19:11
The Cytoskeleton and the Cytoplasmic Matrixes on the alignment of the two coordinate systems. When positional measurements provided by a low-cost GPS are corrupted by high-level noises, this approach becomes problematic. In this paper, we introduce a novel framework that uses similarity invariants to form a tetrahedral network of views for t作者: fledged 時間: 2025-3-23 01:03 作者: 煞費苦心 時間: 2025-3-23 03:23 作者: 同位素 時間: 2025-3-23 07:09
https://doi.org/10.1007/978-3-642-79482-7t from conventional autoencoders which reconstruct each sample from its encoding, we use the encoding of each sample to reconstruct its local neighbors. In this way, the learned representations are consistent among local neighbors and robust to small variations of the inputs. When trained with super作者: 飛行員 時間: 2025-3-23 09:42
Analysis of Cell Motility in Living Cells,d theoretical implications. However, there is hardly any reported research on this topic in the literature. This paper addresses this problem by proposing a novel feature to detect smoke in a single image. An image formation model that expresses an image as a linear combination of smoke and non-smok作者: Control-Group 時間: 2025-3-23 16:01 作者: 刀鋒 時間: 2025-3-23 19:40 作者: FRAX-tool 時間: 2025-3-24 00:24
https://doi.org/10.1007/978-1-62703-266-7val such as annotation and content-based search. As the number of classes increases and finer classification is considered (e.g. specific dog breed), high accuracy is often not possible in such challenging conditions, resulting in a system that will often suggest a wrong label. However, predicting a作者: PALMY 時間: 2025-3-24 03:33 作者: 整潔漂亮 時間: 2025-3-24 10:06
Cytoskeleton Dynamics and Binding Factorsle for discrimination. However, part localization is a challenging task due to the large variation of appearance and pose. In this paper, we show how pre-trained convolutional neural networks can be used for robust and efficient object part discovery and localization without the necessity to actuall作者: 耐寒 時間: 2025-3-24 13:51
https://doi.org/10.1007/978-1-62703-266-7lar application. This paper compares nine popular local descriptors in the context of 3D shape retrieval, 3D object recognition, and 3D modeling. We first evaluate these descriptors on six popular datasets in terms of descriptiveness. We then test their robustness with respect to support radius, Gau作者: 柔軟 時間: 2025-3-24 16:32
Elena E. Grintsevich,Emil Reislerts interaction with the context. In this paper, we present a novel text detection method combining two main ingredients: the robust extension of Stroke Width Transform (SWT) and the Deep Belief Network (DBN) based discrimination of text objects from other scene components. In the former, smoothness-作者: 瑣事 時間: 2025-3-24 20:38
Rochester Series on Environmental Toxicity the case of sketch recognition – abstraction, exaggeration and distortion. Existing studies have attempted to address this task by engineering invariant features, or learning a common subspace between the modalities. In this paper, we take a different approach and explore learning a mid-level repre作者: HIKE 時間: 2025-3-25 00:42
Alessandra Gallo,Elisabetta Tosti However, most of these methods depend on . input depth measurements, while discarding unreliable ones. This paper studies how reliable depth values can be used to . the unreliable ones, and how to . (or extend) the available depth data beyond the raw measurements of the sensor (i.e. infer depth at 作者: 送秋波 時間: 2025-3-25 05:03 作者: Rheumatologist 時間: 2025-3-25 11:13 作者: FLOAT 時間: 2025-3-25 15:39 作者: Lasting 時間: 2025-3-25 16:53 作者: aspersion 時間: 2025-3-25 22:54
Cantas Alev,Georg Zoidl,Rolf Dermietzelts, benchmark datasets and datasets from multi-view microscopy. Experiments show that the proposed method outperforms the state-of-the-arts when both point sets are contaminated by extremely large amount of outliers. Its robustness against the anisotropic z-stretching is also demonstrated in the reg作者: locus-ceruleus 時間: 2025-3-26 01:14 作者: 我還要背著他 時間: 2025-3-26 06:44 作者: CANE 時間: 2025-3-26 12:19
The Cytoskeleton in Health and Diseaseollowing divide-and-conquer strategies. By introducing the pose prior into our optimization framework, the regularity of the corrected poses is guaranteed. The experimental results on a challenging data set demonstrate that the proposed pose correction approach not only improves the accuracy, but al作者: 轎車 時間: 2025-3-26 15:23 作者: 不要嚴(yán)酷 時間: 2025-3-26 18:16 作者: 學(xué)術(shù)討論會 時間: 2025-3-26 22:03 作者: 混雜人 時間: 2025-3-27 02:10
3D Aware Correction and Completion of Depth Maps in Piecewise Planar Sceneslem (MRF) with hard constraints and solved efficiently using graph cuts. To regularize this problem, we exploit 3D and appearance cues that encourage pixels to take on depth values that will be compatible in 3D to the piecewise planar assumption. Extensive experiments, on a new large-scale and chall作者: 清楚說話 時間: 2025-3-27 06:36
Regularity Guaranteed Human Pose Correctionollowing divide-and-conquer strategies. By introducing the pose prior into our optimization framework, the regularity of the corrected poses is guaranteed. The experimental results on a challenging data set demonstrate that the proposed pose correction approach not only improves the accuracy, but al作者: faction 時間: 2025-3-27 10:38
Conference proceedings 2015ACCV 2014, held in Singapore, Singapore, in November 2014..The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and作者: APO 時間: 2025-3-27 17:08
Efficient Image Detail MiningT) inverted file and a geometric consistency verification sufficiently robust to prevent topic drift within a zooming search..Experiments show that the proposed method finds surprisingly fine details on landmarks, even those that are hardly noticeable for humans.作者: 俗艷 時間: 2025-3-27 17:45
0302-9743 vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3..978-3-319-16807-4978-3-319-16808-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 針葉類的樹 時間: 2025-3-28 00:29
Conference proceedings 2015ed from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level vision and features; segmentation; face and gesture, tracking; stereo, physics, video and events; and poster sessions 1-3..作者: Phonophobia 時間: 2025-3-28 02:39
Elena E. Grintsevich,Emil ReislerT) inverted file and a geometric consistency verification sufficiently robust to prevent topic drift within a zooming search..Experiments show that the proposed method finds surprisingly fine details on landmarks, even those that are hardly noticeable for humans.作者: 態(tài)度暖昧 時間: 2025-3-28 09:17
The Cytoskeleton and the Cytoplasmic Matrixomputational overload and to adapt the algorithm to different levels of noises. It is important to note that our optimization framework can be applied in both batch and incremental manners. Experiments on simulations and real datasets demonstrate the robustness and the efficiency of our method.作者: 兇殘 時間: 2025-3-28 13:36 作者: refine 時間: 2025-3-28 15:41
https://doi.org/10.1007/978-1-62703-266-7de-off in .-NN classification, evaluating the impact of related techniques (posterior probability estimation and metric learning). Experimental results show that a proper combination of .-NN and metric learning can be very effective and obtain good performance.作者: incredulity 時間: 2025-3-28 21:27
Cytoskeleton Dynamics and Binding Factorserformance on the CUB200-2011 dataset, but in contrast to previous approaches also to perform detection and bird classification jointly without requiring a given bounding box annotation during testing and ground-truth parts during training.作者: SPASM 時間: 2025-3-28 23:29
Elena E. Grintsevich,Emil Reislerations discriminating character and non-character CCs, resulting in the improved detection accuracy. The proposed method is evaluated on ICDAR and SVT public datasets and achieves the state-of-the-art results, which reveal the effectiveness of the method.作者: 鈍劍 時間: 2025-3-29 03:30 作者: 厚顏 時間: 2025-3-29 11:04
Single Image Smoke Detectiontructed as a concatenation of the respective sparse coefficients. Extensive experiments were conducted and the results have shown that the proposed feature significantly outperforms the existing features for smoke detection.作者: CERE 時間: 2025-3-29 11:33
Accuracy and Specificity Trade-off in ,-nearest Neighbors Classificationde-off in .-NN classification, evaluating the impact of related techniques (posterior probability estimation and metric learning). Experimental results show that a proper combination of .-NN and metric learning can be very effective and obtain good performance.作者: 搬運工 時間: 2025-3-29 16:16
Part Detector Discovery in Deep Convolutional Neural Networkserformance on the CUB200-2011 dataset, but in contrast to previous approaches also to perform detection and bird classification jointly without requiring a given bounding box annotation during testing and ground-truth parts during training.作者: chuckle 時間: 2025-3-29 22:49 作者: 使饑餓 時間: 2025-3-30 03:43
Einat Sadot,Elison B. Blancaflord completeness of the final reconstruction. Unlike previous works, which only address the problem of efficient structure from motion (SfM), our technique is highly applicable to the whole reconstruction pipeline, and solves the problems of efficient bundle adjustment, multi-view stereo (MVS), and subsequent variational refinement.作者: 鬼魂 時間: 2025-3-30 07:35 作者: Instrumental 時間: 2025-3-30 09:43 作者: WAX 時間: 2025-3-30 12:31 作者: Legion 時間: 2025-3-30 17:09 作者: POLYP 時間: 2025-3-31 00:41
Alexander E. Davies,Kenneth B. Kaplanure selection is used to reduce the computational complexity with high dimensional data, and an ensemble learning model is used to improve the efficiency with a large number of data. We demonstrate that the proposed method outperforms the-state of the art approaches in terms of computational complexity on various synthetic and real datasets.作者: MORT 時間: 2025-3-31 04:28
Multi-view Geometry Compressiond completeness of the final reconstruction. Unlike previous works, which only address the problem of efficient structure from motion (SfM), our technique is highly applicable to the whole reconstruction pipeline, and solves the problems of efficient bundle adjustment, multi-view stereo (MVS), and subsequent variational refinement.作者: ESPY 時間: 2025-3-31 08:41
Camera Calibration Based on the Common Self-polar Triangle of Sphere Imagese geometry and recovers five intrinsic parameters without calculating the projected circle center, which is more intuitive and simpler than the previous linear ones. Experiments with simulated data, as well as real images, show that our technique is robust and accurate.作者: molest 時間: 2025-3-31 12:54
DEPT: Depth Estimation by Parameter Transfer for Single Still Imagesy little space.We evaluate our depth estimation method on the benchmark RGB-D (RGB + depth) datasets. The experimental results are comparable to the state-of-the-art, demonstrating the promising performance of our proposed method.作者: 不確定 時間: 2025-3-31 15:12 作者: 任命 時間: 2025-3-31 21:08
Performance Evaluation of 3D Local Feature DescriptorsSI) has the best overall performance across all datasets. Unique Shape Context (USC), Rotational Projection Statistics (RoPS), 3D Shape Context (3DSC), and Signature of Histograms of OrienTations (SHOT) also achieved overall acceptable results.作者: Multiple 時間: 2025-4-1 00:25 作者: 注意到 時間: 2025-4-1 05:31
0302-9743 12th Asian Conference on Computer Vision, ACCV 2014, held in Singapore, Singapore, in November 2014..The total of 227 contributions presented in these volumes was carefully reviewed and selected from 814 submissions. The papers are organized in topical sections on recognition; 3D vision; low-level 作者: Lice692 時間: 2025-4-1 08:10
https://doi.org/10.1007/978-3-7091-7667-2ns given by deformable part models. We use a bagged LambdaMART to model both pair-wise and list-wise relationships between detections. Experiments show our ranking models not only significantly improve detection rates compared to basic deformable part model detectors, but also outperform classification methods with same features.作者: 傳授知識 時間: 2025-4-1 11:41
