作者: 走調(diào) 時間: 2025-3-21 22:25 作者: Emmenagogue 時間: 2025-3-22 00:32 作者: 癡呆 時間: 2025-3-22 05:44
E. Menezes de Sequeira,A. R. Pinto da Silva propagation to a transductive classifier achieves new state-of-the-art results in .Imagenet, .Imagenet, Imagenet-FS, and CUB. Furthermore, we show that embedding propagation consistently improves the accuracy of the models in multiple semi-supervised learning scenarios by up?to 16% points. The prop作者: mortgage 時間: 2025-3-22 10:59 作者: 冰河期 時間: 2025-3-22 14:27
E. Menezes de Sequeira,A. R. Pinto da Silvader the same generative factors, we further constrain the GAN generator to maximize the mutual information between the learned latent code and the output. Despite the simplicity, we show that the proposed method is highly effective, achieving comparable image generation quality to the state-of-the-a作者: 冰河期 時間: 2025-3-22 19:47
https://doi.org/10.1007/978-94-011-3722-5g and 3D reconstruction, we present several natural subfamilies of camera-minimal problems as well as compute solution counts for all camera-minimal problems which have less than 300 solutions for generic data.作者: 不能逃避 時間: 2025-3-22 23:19 作者: LATE 時間: 2025-3-23 05:08 作者: 陰謀 時間: 2025-3-23 08:51
The Palaeontology of Browsing and Grazing,ial Basis Function (RBF) distances to replace the commonly used inner products in the softmax loss function, such that it can adaptively assign losses to regularize the intra-class and inter-class distances by reshaping the relative differences, and thus creating more representative prototypes of cl作者: 季雨 時間: 2025-3-23 09:55 作者: BLANK 時間: 2025-3-23 15:44 作者: 外貌 時間: 2025-3-23 21:33
Weakly-Supervised Learning of Human Dynamics, minimized, i.e.?no ground truth forces and moments are required during training. The proposed method achieves state-of-the-art results in terms of ground reaction force, ground reaction moment and joint torque regression and is able to maintain good performance on substantially reduced sets.作者: alliance 時間: 2025-3-24 01:24
Embedding Propagation: Smoother Manifold for Few-Shot Classification, propagation to a transductive classifier achieves new state-of-the-art results in .Imagenet, .Imagenet, Imagenet-FS, and CUB. Furthermore, we show that embedding propagation consistently improves the accuracy of the models in multiple semi-supervised learning scenarios by up?to 16% points. The prop作者: IVORY 時間: 2025-3-24 04:35
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis,zation of the object pose, shape and appearance in a joint manner and we experimentally show that the method can recover orientation of objects with high accuracy from 2D images alone. When provided with depth measurements, to overcome scale ambiguities, the method can accurately recover the full 6D作者: 保守黨 時間: 2025-3-24 07:39 作者: hankering 時間: 2025-3-24 12:04
PL,P - Point-Line Minimal Problems Under Partial Visibility in Three Views,g and 3D reconstruction, we present several natural subfamilies of camera-minimal problems as well as compute solution counts for all camera-minimal problems which have less than 300 solutions for generic data.作者: 不持續(xù)就爆 時間: 2025-3-24 17:14
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification,ach scale factor is optimal, which are used as guidance to enhance the content-aware scale factor prediction. Consequently, our model can more accurately predict and recover the content-aware details, and achieve state-of-the-art performances on four LR re-id datasets.作者: MEEK 時間: 2025-3-24 21:25
Neural Wireframe Renderer: Learning Wireframe to Image Translations,sentation learned from both images and wireframes. In our model, structural constraints are explicitly enforced by learning a joint representation in a shared encoder network that must support the generation of both images and wireframes. Experiments on a wireframe-scene dataset show that our wirefr作者: Champion 時間: 2025-3-24 23:23 作者: Hemodialysis 時間: 2025-3-25 04:49
Adversarial Robustness on In- and Out-Distribution Improves Explainability,作者: 幼兒 時間: 2025-3-25 10:07
Visual Matched Filtering in Vertebratesn doing so, GroSS is able to train an entire grouped convolution architecture search-space concurrently. We demonstrate this through architecture searches with performance objectives on multiple datasets and networks. GroSS enables more effective and efficient search for grouped convolutional architectures.作者: 郊外 時間: 2025-3-25 14:06 作者: bleach 時間: 2025-3-25 16:47 作者: 空氣傳播 時間: 2025-3-25 22:31 作者: Anal-Canal 時間: 2025-3-26 02:50 作者: macabre 時間: 2025-3-26 04:57
Efficient Adversarial Attacks for Visual Object Tracking,ork based trackers. Under a single GPU, FAN is efficient in the training speed and has a strong attack performance. The FAN can generate an adversarial example at 10ms, achieve effective targeted attack (at least 40% drop rate on OTB) and untargeted attack (at least 70% drop rate on OTB).作者: CHIP 時間: 2025-3-26 10:09
What Makes Fake Images Detectable? Understanding Properties that Generalize,technique to exaggerate these detectable properties and demonstrate that, even when the image generator is adversarially finetuned against a fake image classifier, it is still imperfect and leaves detectable artifacts in certain image patches. Code is available at ..作者: engender 時間: 2025-3-26 14:47 作者: Expressly 時間: 2025-3-26 19:26 作者: 征兵 時間: 2025-3-26 23:37 作者: 雄偉 時間: 2025-3-27 03:02 作者: mendacity 時間: 2025-3-27 06:03
Conference proceedings 2020g; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..?..?.作者: Notorious 時間: 2025-3-27 10:26
0302-9743 processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..?..?.978-3-030-58573-0978-3-030-58574-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 瑪瑙 時間: 2025-3-27 13:37
Attachment and Germination of Conidia,-optimized discriminator and comparing them with existing discriminator architectures in the literature. Our tiny perceptual SR (TPSR) models outperform SRGAN and EnhanceNet on both full-reference perceptual metric (LPIPS) and distortion metric (PSNR) while being up?to 26.4. more memory efficient and 33.6. more compute efficient respectively.作者: 精密 時間: 2025-3-27 17:59
https://doi.org/10.1057/9781137354204s, robustness to noise in the input scene graph, and generalization on semantically equivalent graphs. Finally, we show improved performance of the model on three different benchmarks: Visual Genome, COCO, and CLEVR.作者: ciliary-body 時間: 2025-3-28 00:35 作者: CEDE 時間: 2025-3-28 03:54 作者: 人類的發(fā)源 時間: 2025-3-28 07:28 作者: 平息 時間: 2025-3-28 13:59
Aligning Videos in Space and Time,on and Pouring datasets demonstrate that the proposed method can successfully learn to correspond semantically similar patches across videos, and learns representations that are sensitive to object and action states.作者: construct 時間: 2025-3-28 16:35
0302-9743 uter Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers dea作者: inquisitive 時間: 2025-3-28 19:27 作者: 名字 時間: 2025-3-29 00:10 作者: gregarious 時間: 2025-3-29 05:21
Efficient Adversarial Attacks for Visual Object Tracking, trackers, i.e., Siamese based trackers, use DNNs to attain high accuracy. However, the robustness of visual tracking models is seldom explored. In this paper, we analyze the weakness of object trackers based on the Siamese network and then extend adversarial examples to visual object tracking. We p作者: 食草 時間: 2025-3-29 10:44
Globally-Optimal Event Camera Motion Estimation,e-based cameras, event cameras measure asynchronous pixel-level brightness changes and return them in a highly discretised format, hence new algorithms are needed. The present paper looks at fronto-parallel motion estimation of an event camera. The flow of the events is modeled by a general homograp作者: Allowance 時間: 2025-3-29 11:27 作者: 代理人 時間: 2025-3-29 17:07
Journey Towards Tiny Perceptual Super-Resolution, deep convolutional networks. However, these convolutional models are excessively large and expensive, hindering their effective deployment to end devices. In this work, we propose a neural architecture search (NAS) approach that integrates NAS and generative adversarial networks (GANs) with recent 作者: 傲慢人 時間: 2025-3-29 20:01 作者: 故意釣到白楊 時間: 2025-3-30 03:58 作者: Analogy 時間: 2025-3-30 04:07 作者: 占線 時間: 2025-3-30 09:10 作者: 神化怪物 時間: 2025-3-30 14:22
PL,P - Point-Line Minimal Problems Under Partial Visibility in Three Views,perspective cameras when each line is incident to at most one point. This is a large class of interesting minimal problems that allows missing observations in images due to occlusions and missed detections. There is an infinite number of such minimal problems; however, we show that they can be reduc作者: indifferent 時間: 2025-3-30 19:01 作者: phase-2-enzyme 時間: 2025-3-30 22:25 作者: photopsia 時間: 2025-3-31 01:51
Deformable Style Transfer,ly ignoring geometry. We propose deformable style transfer (DST), an optimization-based approach that jointly stylizes the texture and geometry of a content image to better match a style image. Unlike previous geometry-aware stylization methods, our approach is neither restricted to a particular dom作者: Diverticulitis 時間: 2025-3-31 08:40 作者: 和平主義 時間: 2025-3-31 12:52 作者: travail 時間: 2025-3-31 14:01
RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax,by the softmax cross-entropy loss generally show excessive intra-class variations. We argue that, because the traditional softmax losses aim to optimize only the relative differences between intra-class and inter-class distances (.), it cannot obtain representative class prototypes (class weights/ce作者: 字的誤用 時間: 2025-3-31 21:35
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction,ulation is expensive and has large domain gaps. Instead, we directly simulate the outputs of the self-driving vehicle’s perception and prediction system, enabling realistic motion planning testing. Specifically, we use paired data in the form of ground truth labels and real perception and prediction作者: muffler 時間: 2025-3-31 23:49
Jeffrey A. Riffell,John G. HildebrandFully Convolutional Networks (dilatedFCN), which adopt dilated convolutions in the backbone networks to extract high-resolution feature maps for achieving high-performance segmentation performance. However, due to many convolution operations are conducted on the high-resolution feature maps, such di作者: endoscopy 時間: 2025-4-1 05:22
