作者: 縱欲 時(shí)間: 2025-3-21 20:22
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242337.jpg作者: 藐視 時(shí)間: 2025-3-22 01:27 作者: 管理員 時(shí)間: 2025-3-22 05:00
978-3-031-73115-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: BIBLE 時(shí)間: 2025-3-22 08:54
Alternate Fractionation in Radiotherapytional datasets focus on driver or vehicle behavior, often neglecting pedestrian perspectives. To fill this gap, we introduce the WTS dataset, highlighting detailed behaviors of both vehicles and pedestrians across over 1.2. video events in over hundreds traffic scenarios. WTS integrates diverse per作者: GIST 時(shí)間: 2025-3-22 15:51
An Unlikely Couple: Fintry and Oldenburgthe brain. Incorporating Transformers with SNNs has shown promise for accuracy. However, they struggle to learn high-frequency patterns, such as moving edges and pixel-level brightness changes, because they rely on the global self-attention mechanism. Learning these high-frequency representations is作者: GIST 時(shí)間: 2025-3-22 20:31 作者: Microgram 時(shí)間: 2025-3-23 00:49
Discussion: Who gets what, when, and how?lized datasets impedes the advancement of model development in this domain. To address this, we have developed the Pests and Diseases Tree dataset (PDT dataset). PDT dataset represents the first high-precision UAV-based dataset for targeted detection of tree pests and diseases, which is collected in作者: 戲服 時(shí)間: 2025-3-23 04:21
https://doi.org/10.1007/978-3-658-32307-3t are generalizable to new materials. This opens the door to BRDF reconstructions from a variety of data sources. The success of our approach relies on the ability of hypernetworks to generate a robust representation of BRDFs and a set encoder that allows us to feed inputs of different sizes to the 作者: alcohol-abuse 時(shí)間: 2025-3-23 07:09
https://doi.org/10.1007/978-3-658-32307-3ton avalanche diode (SPAD) detects individual photons using an avalanche process; the raw photon data can then be processed to extract scene information under extremely low light, high dynamic range, and rapid motion. Yet, single-photon sensitivity in SPADs comes at a cost—each photon detection cons作者: 憂傷 時(shí)間: 2025-3-23 10:01 作者: 寄生蟲(chóng) 時(shí)間: 2025-3-23 15:07 作者: A簡(jiǎn)潔的 時(shí)間: 2025-3-23 20:58 作者: Inkling 時(shí)間: 2025-3-23 22:52
https://doi.org/10.1007/978-3-319-58359-4systems, such smoothness is usually obtained via ., which explicitly enforces models to perform well on perturbed examples. In this work, we show the surprising effectiveness of instead regularizing the gradient w.r.t. model inputs .. Penalizing input . is commonly believed to be a much inferior app作者: 最高峰 時(shí)間: 2025-3-24 04:36
https://doi.org/10.1007/978-3-319-58359-4mages . corresponding pose information. Current sparse-view 3D inference methods typically rely on camera poses to geometrically aggregate information from input views, but are not robust in-the-wild when such information is unavailable/inaccurate. In contrast, UpFusion sidesteps this requirement by作者: Palliation 時(shí)間: 2025-3-24 06:57 作者: sinoatrial-node 時(shí)間: 2025-3-24 13:45
Decentralised Planning Proceduresm is of great importance in the privacy community where obfuscation of features has been proposed as a technique for privacy-preserving machine learning?(ML) inference. In this benchmark, we characterize different obfuscation techniques and design different attack models. We propose multiple reconst作者: 大看臺(tái) 時(shí)間: 2025-3-24 16:35 作者: 虛構(gòu)的東西 時(shí)間: 2025-3-24 21:21 作者: 課程 時(shí)間: 2025-3-25 01:12 作者: Cupping 時(shí)間: 2025-3-25 05:42 作者: BET 時(shí)間: 2025-3-25 11:26
Introduction to Alternative Assessment,t-time adaptation. While typical approaches rely on a large amount of demonstration data for such generalization, we propose an approach that leverages web videos to predict plausible interaction plans and learns a task-agnostic transformation to obtain robot actions in the real world. Our framework作者: miniature 時(shí)間: 2025-3-25 12:40
Farrah Dina Yusop,Amira Firdausmited by the large computational cost of volumetric rendering. Recently, 3D Gaussian Splatting emerged as a much faster alternative with superior rendering quality and training efficiency, especially for small-scale and object-centric scenarios. Nevertheless, this technique suffers from poor perform作者: 狼群 時(shí)間: 2025-3-25 18:40
Conference proceedings 2025nt learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..作者: 顧客 時(shí)間: 2025-3-25 21:31
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73115-0978-3-031-73116-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: enormous 時(shí)間: 2025-3-26 02:26 作者: 雪上輕舟飛過(guò) 時(shí)間: 2025-3-26 06:07
Developments in Hematology and Immunologyom the categorical counting module to dynamically adjust the number and positional information of object queries. Our model DQ-DETR outperforms previous CNN-based and DETR-like methods, achieving state-of-the-art mAP 30.2% on the AI-TOD-V2 dataset, which mostly consists of tiny objects. Our code will be available at ..作者: 哪有黃油 時(shí)間: 2025-3-26 08:53 作者: 性學(xué)院 時(shí)間: 2025-3-26 13:09
,SIMBA: Split Inference—Mechanisms, Benchmarks and?Attacks,ction techniques for evaluating their privacy-utility trade-off. Finally, we release a dataset of obfuscated representations to foster research in this area. We have open-sourced code, dataset, hyper-parameters, and trained models that can be found at ..作者: Crumple 時(shí)間: 2025-3-26 18:49
,DQ-DETR: DETR with?Dynamic Query for?Tiny Object Detection,om the categorical counting module to dynamically adjust the number and positional information of object queries. Our model DQ-DETR outperforms previous CNN-based and DETR-like methods, achieving state-of-the-art mAP 30.2% on the AI-TOD-V2 dataset, which mostly consists of tiny objects. Our code will be available at ..作者: JOT 時(shí)間: 2025-3-26 23:27 作者: 水槽 時(shí)間: 2025-3-27 01:26
https://doi.org/10.1007/978-3-658-32307-3and quantitatively on the well-known MERL dataset of 100 isotropic materials. Our approach accurately 1) estimates the BRDFs of unseen materials even for an extremely sparse sampling, 2) compresses the measured BRDFs into very small embeddings, e.g., 7D.作者: ANIM 時(shí)間: 2025-3-27 09:19 作者: 哪有黃油 時(shí)間: 2025-3-27 13:06
Conference proceedings 2025uter Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforceme作者: Explosive 時(shí)間: 2025-3-27 14:21
0302-9743 ce on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024...The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; r作者: 信徒 時(shí)間: 2025-3-27 21:03
,WTS: A Pedestrian-Centric Traffic Video Dataset for?Fine-Grained Spatial-Temporal Understanding,ng WTS, we establish a benchmark for dense video-to-text tasks, exploring state-of-the-art Vision-Language Models with an instance-aware VideoLLM method as a baseline. WTS aims to advance fine-grained video event understanding, enhancing traffic safety and autonomous driving development. Dataset pag作者: 水獺 時(shí)間: 2025-3-28 00:21
Spiking Wavelet Transformer,ing, 2) convolution-based learner for spatial feature extraction, and 3) spiking pointwise convolution for cross-channel information aggregation - with negative spike dynamics incorporated in 1) to enhance frequency representation. The FATM enables the SWformer to outperform vanilla Spiking Transfor作者: malapropism 時(shí)間: 2025-3-28 06:10
,WAVE: Warping DDIM Inversion Features for?Zero-Shot Text-to-Video Editing,rames randomly in each timestep and use optical flow extracted from the source video to propagate the latent features of the first keyframe to subsequent keyframes. Moreover, we develop a comprehensive zero-shot framework that adapts to this strategy in both the inversion and denoising processes, th作者: 使乳化 時(shí)間: 2025-3-28 07:36 作者: 主講人 時(shí)間: 2025-3-28 10:33 作者: obstinate 時(shí)間: 2025-3-28 18:03 作者: 不公開(kāi) 時(shí)間: 2025-3-28 19:38 作者: 古董 時(shí)間: 2025-3-28 23:36 作者: deforestation 時(shí)間: 2025-3-29 06:43
,Characterizing Model Robustness via?Natural Input Gradients,without complex adversarial optimization. Our analyses also highlight the relationship between model robustness and properties of natural input gradients, such as asymmetric sample and channel statistics. Surprisingly, we find model robustness can be significantly improved by simply regularizing its作者: N斯巴達(dá)人 時(shí)間: 2025-3-29 09:12 作者: TEN 時(shí)間: 2025-3-29 12:07 作者: 分期付款 時(shí)間: 2025-3-29 17:29
,Tuning-Free Image Customization with?Image and?Text Guidance, utilizes text and image guidance for image customization in specific regions. Our approach outperforms previous methods in both human and quantitative evaluations, providing an efficient solution for various practical applications, such as image synthesis, design, and creative photography. Project 作者: 聲明 時(shí)間: 2025-3-29 19:57
,FairDomain: Achieving Fairness in?Cross-Domain Medical Image Segmentation and?Classification,prove fairness by using self-attention to adjust feature importance based on demographic attributes. Additionally, we curate the first fairness-focused dataset with two paired imaging modalities for the same patient cohort on medical segmentation and classification tasks, to rigorously assess fairne作者: 不透氣 時(shí)間: 2025-3-30 02:50
,Emerging Property of?Masked Token for?Effective Pre-training,l approach termed ., specifically designed to improve model efficiency through weight recalibration and the enhancement of the key property of masked tokens. The proposed method serves as an adaptable solution that seamlessly integrates into any MIM approach that leverages masked tokens. As a result作者: mastopexy 時(shí)間: 2025-3-30 04:59
,Track2Act: Predicting Point Tracks from?Internet Videos Enables Generalizable Robot Manipulation,g residual actions through a closed loop policy trained with a few embodiment-specific demonstrations. We show that this approach of combining scalably learned track prediction with a residual policy requiring minimal in-domain robot-specific data enables diverse generalizable robot manipulation, an作者: 摸索 時(shí)間: 2025-3-30 12:16 作者: dilute 時(shí)間: 2025-3-30 13:40
An Unlikely Couple: Fintry and Oldenburging, 2) convolution-based learner for spatial feature extraction, and 3) spiking pointwise convolution for cross-channel information aggregation - with negative spike dynamics incorporated in 1) to enhance frequency representation. The FATM enables the SWformer to outperform vanilla Spiking Transfor作者: 填料 時(shí)間: 2025-3-30 19:39
Discussion: Who gets what, when, and how?rames randomly in each timestep and use optical flow extracted from the source video to propagate the latent features of the first keyframe to subsequent keyframes. Moreover, we develop a comprehensive zero-shot framework that adapts to this strategy in both the inversion and denoising processes, th作者: 的’ 時(shí)間: 2025-3-30 23:29
Discussion: Who gets what, when, and how?nd disease crop images. We re-evaluate the state-of-the-art detection models with our proposed PDT dataset and CWC dataset, showing the completeness of the dataset and the effectiveness of the YOLO-DP. The proposed PDT dataset, CWC dataset, and YOLO-DP model are presented at ..作者: obstinate 時(shí)間: 2025-3-31 03:02
https://doi.org/10.1007/978-3-658-32307-3that use past photon data to disable SPAD pixels in real-time, to select the most informative future photons. As case studies, we design policies tailored for image reconstruction and edge detection, and demonstrate, both via simulations and real SPC captured data, considerable reduction in photon d作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-31 09:03
https://doi.org/10.1007/978-3-658-15492-9heory. Finally, to minimize the discrepancy, a COD-based conditional invariant representation learning model is proposed, and the reformulation is derived to show that reasonable modifications on moment statistics can further improve the discriminability of the adaptation model. Extensive experiment作者: 金哥占卜者 時(shí)間: 2025-3-31 12:55 作者: constellation 時(shí)間: 2025-3-31 14:07
https://doi.org/10.1007/978-3-319-58359-4yer attention module is designed to encourage information exchange and learning between layers, while a text-guided intra-layer attention module incorporates layer-specific prompts to direct the specific-content generation for each layer. A layer-specific prompt-enhanced module better captures detai作者: Blood-Vessels 時(shí)間: 2025-3-31 17:42 作者: 意外的成功 時(shí)間: 2025-3-31 23:23
https://doi.org/10.1007/978-3-319-58359-4 high-fidelity novel views while improving the synthesis quality given additional (unposed) images. We evaluate our approach on the Co3Dv2 and Google Scanned Objects datasets and demonstrate the benefits of our method over pose-reliant sparse-view methods as well as single-view methods that cannot l作者: SIT 時(shí)間: 2025-4-1 04:19 作者: 減弱不好 時(shí)間: 2025-4-1 07:12
https://doi.org/10.1007/978-1-349-16523-0 utilizes text and image guidance for image customization in specific regions. Our approach outperforms previous methods in both human and quantitative evaluations, providing an efficient solution for various practical applications, such as image synthesis, design, and creative photography. Project
