作者: 放肆的你 時間: 2025-3-21 20:26 作者: ineptitude 時間: 2025-3-22 01:32 作者: 減去 時間: 2025-3-22 08:22 作者: 無底 時間: 2025-3-22 12:11
The Emerging Pattern of Structural Change,rtion performance. Our contributions to source compression with INRs vastly outperform prior work. We show that our INR-based compression algorithm, meta-learning combined with SIREN and positional encodings, outperforms JPEG2000 and Rate-Distortion Autoencoders on Kodak with 2x reduced dimensionali作者: FLAGR 時間: 2025-3-22 13:15
Brand Valuation Best Practice Approach,on spaces and the reconstruction quality, making the 3D face model aware of the limited driving signals. We conduct extensive evaluations where the latent codes are optimized to reconstruct 3D avatars from partial or sparse observations. We show that our approach leads to an expressive and effective作者: FLAGR 時間: 2025-3-22 17:35 作者: 造反,叛亂 時間: 2025-3-22 22:26 作者: milligram 時間: 2025-3-23 03:09
https://doi.org/10.1007/978-1-349-12722-1utedly without direct access of local data. Extensive experiments indicate that our SphereFed approach is able to improve the accuracy of multiple existing federated learning algorithms by a considerable margin (up to 6% on challenging datasets) with enhanced computation and communication efficiency作者: 地名表 時間: 2025-3-23 07:50 作者: 急急忙忙 時間: 2025-3-23 10:08 作者: Middle-Ear 時間: 2025-3-23 16:53
External Financial Flows and Debt Reliefove the performance of the current task. Finally, we theoretically find that null space plays a key role in plasticity and stability, respectively. Experimental results show that the proposed method can achieve better performance compared to state-of-the-art continual learning approaches.作者: 不出名 時間: 2025-3-23 18:45 作者: 分散 時間: 2025-3-24 00:23 作者: 和諧 時間: 2025-3-24 03:13 作者: 共和國 時間: 2025-3-24 07:35 作者: 協(xié)定 時間: 2025-3-24 12:24 作者: manifestation 時間: 2025-3-24 18:37 作者: corpus-callosum 時間: 2025-3-24 23:02
Contrastive Deep Supervision,ntrastive learning. Experimental results on nine popular datasets with eleven models demonstrate its effects on general image classification, fine-grained image classification and object detection in supervised learning, semi-supervised learning and knowledge distillation. Codes have been released i作者: aerial 時間: 2025-3-25 00:51 作者: 增強 時間: 2025-3-25 06:08 作者: 騙子 時間: 2025-3-25 10:04
,Few-Shot End-to-End Object Detection via?Constantly Concentrated Encoding Across Heads,oposals to facilitate the adaptation at lower heads. Extensive experimental results show that our model brought clear gain on benchmarks. Detailed ablation studies are provided to justify the selection of each component.作者: 人類 時間: 2025-3-25 12:22
,Implicit Neural Representations for?Image Compression,rtion performance. Our contributions to source compression with INRs vastly outperform prior work. We show that our INR-based compression algorithm, meta-learning combined with SIREN and positional encodings, outperforms JPEG2000 and Rate-Distortion Autoencoders on Kodak with 2x reduced dimensionali作者: 信條 時間: 2025-3-25 17:28 作者: 蜈蚣 時間: 2025-3-25 23:18 作者: laceration 時間: 2025-3-26 02:30
,Learning Ego 3D Representation as?Ray Tracing,presentation from 2D images without any depth supervision, and with the built-in geometry structure consistent .?BEV. Despite its simplicity and versatility, extensive experiments on standard BEV visual tasks (., camera-based 3D object detection and BEV segmentation) show that our model outperforms 作者: 蚊子 時間: 2025-3-26 05:06 作者: GREG 時間: 2025-3-26 10:42
,Hierarchically Self-supervised Transformer for?Human Skeleton Representation Learning, covering three skeleton-based downstream tasks including action recognition, action detection, and motion prediction. Under both supervised and semi-supervised evaluation protocols, our method achieves the state-of-the-art performance. Additionally, we demonstrate that the prior knowledge learned b作者: linear 時間: 2025-3-26 13:19 作者: cuticle 時間: 2025-3-26 16:52
,Balancing Stability and?Plasticity Through Advanced Null Space in?Continual Learning,ove the performance of the current task. Finally, we theoretically find that null space plays a key role in plasticity and stability, respectively. Experimental results show that the proposed method can achieve better performance compared to state-of-the-art continual learning approaches.作者: 沙發(fā) 時間: 2025-3-26 21:06 作者: modest 時間: 2025-3-27 02:23
,CoSCL: Cooperation of?Small Continual Learners is Stronger Than a?Big One,cture with a fixed number of narrower sub-networks to learn all incremental tasks in parallel, which can naturally reduce the two errors through improving the three components of the upper bound. To strengthen this advantage, we encourage to cooperate these sub-networks by penalizing the difference 作者: peptic-ulcer 時間: 2025-3-27 06:12
,Manifold Adversarial Learning for?Cross-domain 3D Shape Representation,ed to form . and retained in an adaptive replay-based memory. We further provide theoretical justification for the intermediate domains to reduce the generalization error of the DNN models. Experimental results on synthetic-to-real datasets illustrate that our method outperforms existing 3D deep lea作者: 偽造者 時間: 2025-3-27 09:46 作者: Chagrin 時間: 2025-3-27 14:08 作者: 事先無準備 時間: 2025-3-27 18:31 作者: 愚笨 時間: 2025-3-28 00:59 作者: incredulity 時間: 2025-3-28 06:06 作者: muster 時間: 2025-3-28 06:38
Conference proceedings 2022ning; 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; object recognition; motion estimation..作者: 繼承人 時間: 2025-3-28 12:55
0302-9743 ruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-19808-3978-3-031-19809-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Relinquish 時間: 2025-3-28 17:06 作者: Bricklayer 時間: 2025-3-28 20:47 作者: 變量 時間: 2025-3-29 02:16 作者: BIBLE 時間: 2025-3-29 07:06 作者: Nebulous 時間: 2025-3-29 08:44 作者: voluble 時間: 2025-3-29 12:42 作者: fender 時間: 2025-3-29 16:52 作者: 打谷工具 時間: 2025-3-29 22:02 作者: IOTA 時間: 2025-3-30 03:21 作者: 外形 時間: 2025-3-30 04:02 作者: 尋找 時間: 2025-3-30 11:36
,Static and?Dynamic Concepts for?Self-supervised Video Representation Learning,pose to first learn general visual concepts then attend to discriminative local areas for video understanding. Specifically, we utilize static frame and frame difference to help decouple static and dynamic concepts, and respectively align the concept distributions in latent space. We add diversity a作者: flammable 時間: 2025-3-30 14:10
SphereFed: Hyperspherical Federated Learning,challenge is the handling of non-. (independent identically distributed) data across multiple clients that may induce disparities of their local features. We introduce the Hyperspherical Federated Learning (SphereFed) framework to address the non-. issue by constraining learned representations of da作者: 顯而易見 時間: 2025-3-30 20:14 作者: Texture 時間: 2025-3-30 23:11
,Posterior Refinement on?Metric Matrix Improves Generalization Bound in?Metric Learning,trained on finite known data can achieve similitude performance on infinite unseen data. While considerable efforts have been made to bound the generalization gap by enhancing the model architecture and training protocol a priori in the training phase, none of them notice that a lightweight posterio作者: 貪婪性 時間: 2025-3-31 01:27 作者: OCTO 時間: 2025-3-31 05:22 作者: intolerance 時間: 2025-3-31 11:12
,CoSCL: Cooperation of?Small Continual Learners is Stronger Than a?Big One, general, learning all tasks with a shared set of parameters suffers from severe interference between tasks; while learning each task with a dedicated parameter subspace is limited by scalability. In this work, we theoretically analyze the generalization errors for learning plasticity and memory sta作者: 新娘 時間: 2025-3-31 16:34
,Manifold Adversarial Learning for?Cross-domain 3D Shape Representation,generalization to out-of-distribution 3D point clouds remains challenging for DNNs. As annotating large-scale point clouds is prohibitively expensive or even impossible, strategies for generalizing DNN models to unseen domains of point clouds without access to those domains during training are urgen作者: Confirm 時間: 2025-3-31 20:44 作者: 大喘氣 時間: 2025-3-31 23:02
,LoRD: Local 4D Implicit Representation for?High-Fidelity Dynamic Human Modeling, to missing surface details and accumulating tracking error. While many deep local representations have shown promising results for 3D shape modeling, their 4D counterpart does not exist yet. In this paper, we fill this blank by proposing a novel .cal 4D implicit .epresentation for .ynamic clothed h作者: 敵意 時間: 2025-4-1 04:04
,On the?Versatile Uses of?Partial Distance Correlation in?Deep Learning,, is an essential step in understanding what they are learning (and what they are not), and for identifying strategies for regularization or efficiency improvements. Despite recent progress, e.g., comparing vision transformers to CNNs, systematic comparison of function, especially across different n作者: 時代 時間: 2025-4-1 08:25
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234272.jpg作者: 徹底檢查 時間: 2025-4-1 13:51
https://doi.org/10.1007/978-3-031-19809-0Computer Science; Informatics; Conference Proceedings; Research; Applications作者: 影響 時間: 2025-4-1 17:47
978-3-031-19808-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 外來 時間: 2025-4-1 21:46
