作者: FRONT 時間: 2025-3-21 21:17
,Flash Cache: Reducing Bias in?Radiance Cache Based Inverse Rendering,pute the color arriving along a ray. Using these representations for more general inverse rendering—reconstructing geometry, materials, and lighting from observed images—is challenging because recursively path-tracing such volumetric representations is expensive. Recent works alleviate this issue th作者: 殺蟲劑 時間: 2025-3-22 01:37 作者: 散布 時間: 2025-3-22 08:27 作者: BILK 時間: 2025-3-22 09:16
,AddressCLIP: Empowering Vision-Language Models for?City-Wide Image Address Localization,s where an image was taken. Existing two-stage approaches involve predicting geographical coordinates and converting them?into human-readable addresses, which can lead to ambiguity and?be resource-intensive. In contrast, we propose an end-to-end framework named . to solve the problem with more seman作者: 令人悲傷 時間: 2025-3-22 13:32
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classificion, and very limited efforts?have been devoted for rotation invariant property. Several recent studies achieve rotation invariance at the cost of lower accuracies. In?this work, we close this gap by proposing a novel yet effective rotation invariant architecture for 3D point cloud classification?an作者: 令人悲傷 時間: 2025-3-22 20:13 作者: Saline 時間: 2025-3-22 21:59
,Bidirectional Uncertainty-Based Active Learning for?Open-Set Annotation,es data from both known and unknown classes. Traditional methods prioritize selecting informative examples with low confidence, with the risk of mistakenly selecting unknown-class examples with similarly low confidence. Recent methods favor the most probable known-class examples, with the risk?of pi作者: 飛行員 時間: 2025-3-23 01:31
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspectiion problem. Among various AT methods,?fast AT (FAT), which employs a single-step attack strategy to guide?the training process, can achieve good robustness against adversarial attacks at a low cost. However, FAT methods suffer from?the catastrophic overfitting problem, especially on complex tasks?o作者: grieve 時間: 2025-3-23 05:58
,Projecting Points to?Axes: Oriented Object Detection via?Point-Axis Representation,?and geometrically intuitive nature with two key components: points?and axes. 1) . delineate the spatial extent and contours of objects, providing detailed shape descriptions. 2) . define the primary directionalities of objects, providing essential orientation cues crucial for precise detection. The作者: Lime石灰 時間: 2025-3-23 13:32 作者: COWER 時間: 2025-3-23 16:28 作者: 生存環(huán)境 時間: 2025-3-23 21:37 作者: 噴出 時間: 2025-3-24 01:04 作者: 矛盾心理 時間: 2025-3-24 02:40
,Stable Preference: Redefining Training Paradigm of?Human Preference Model for?Text-to-Image Synthesthetic images in a way consistent?with human preferences is critical for both generative model evaluation and preferred image selection. Previous works aligned models?with human preferences by training scoring models on image pairs?with preference annotations. These carefully annotated image pairs?w作者: intricacy 時間: 2025-3-24 08:04 作者: 貪心 時間: 2025-3-24 11:06 作者: 好忠告人 時間: 2025-3-24 16:04 作者: reflection 時間: 2025-3-24 20:39 作者: Acquired 時間: 2025-3-25 00:08 作者: 終止 時間: 2025-3-25 05:26 作者: Obvious 時間: 2025-3-25 09:22
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: Affluence 時間: 2025-3-25 11:43
Dynamic Models of Psychological Systemset’s movements, we propose?an online prompt updater. Extensive experiments on five benchmark datasets demonstrate the effectiveness of our proposed method,?which also achieves state-of-the-art performance.作者: ostracize 時間: 2025-3-25 18:27
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers,et’s movements, we propose?an online prompt updater. Extensive experiments on five benchmark datasets demonstrate the effectiveness of our proposed method,?which also achieves state-of-the-art performance.作者: 苦澀 時間: 2025-3-25 22:48
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73389-5978-3-031-73390-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: intricacy 時間: 2025-3-26 00:42
https://doi.org/10.1007/978-3-642-78411-8ification performance across various visual modalities.?Our work represents the first systematic effort to adapt large VL models for edge deployment, showcasing up to . accuracy improvements on multiple datasets and up to 93-fold reduction in model size.?Code available at ..作者: GAVEL 時間: 2025-3-26 06:18 作者: arterioles 時間: 2025-3-26 11:56
Making the Physical Therapy Entertaining have introduced . attacks that train a generator for each target class to generate highly transferable perturbations, resulting in substantial computational overhead when handling multiple classes. . attacks address this by training only?one class-conditional generator for multiple classes. However作者: 闡明 時間: 2025-3-26 16:22
Lecture Notes in Computer Sciencepute the color arriving along a ray. Using these representations for more general inverse rendering—reconstructing geometry, materials, and lighting from observed images—is challenging because recursively path-tracing such volumetric representations is expensive. Recent works alleviate this issue th作者: 草率男 時間: 2025-3-26 20:40 作者: 道學氣 時間: 2025-3-27 00:03
Embedded Microelectronic Subsystemsusly diminishes when employed?on image data with blur, while image data with intentional?blur constitute a substantial proportion of general data. To further investigate and address this issue, we developed a?new super-resolution dataset specifically tailored for blur images, named the Real-world Bl作者: 昏暗 時間: 2025-3-27 04:51 作者: Ethics 時間: 2025-3-27 05:43 作者: 寬容 時間: 2025-3-27 11:47
Embedded Microelectronic Subsystemss a challenging task.?Many adapter-based methods impose image representation conditions on?the denoising process to accomplish image control. However?these conditions are not aligned with the word embedding space, leading?to interference between image and text control conditions and?the potential lo作者: micturition 時間: 2025-3-27 14:43
Context in Pervasive Environmentses data from both known and unknown classes. Traditional methods prioritize selecting informative examples with low confidence, with the risk of mistakenly selecting unknown-class examples with similarly low confidence. Recent methods favor the most probable known-class examples, with the risk?of pi作者: 膠水 時間: 2025-3-27 21:06
Ambient Intelligence with Microsystemsion problem. Among various AT methods,?fast AT (FAT), which employs a single-step attack strategy to guide?the training process, can achieve good robustness against adversarial attacks at a low cost. However, FAT methods suffer from?the catastrophic overfitting problem, especially on complex tasks?o作者: Mangle 時間: 2025-3-28 01:04 作者: 遺棄 時間: 2025-3-28 04:21 作者: Immunotherapy 時間: 2025-3-28 06:35
https://doi.org/10.1007/978-3-031-43461-7ication bias and its?loss function design, while ignoring the subtle influence of?the regression branch. This paper shows that the regression bias exists and does adversely and seriously impact the detection accuracy. While existing methods fail to handle the regression bias,?the class-specific regr作者: 發(fā)牢騷 時間: 2025-3-28 12:30
Badr Hirchoua,Brahim Ouhbi,Bouchra Frikhure task, which is in increasing demand, aims to erase objects and generate harmonious background. Previous GAN-based inpainting methods struggle with intricate texture generation. Emerging diffusion model-based algorithms,?such as Stable Diffusion Inpainting, exhibit the capability to generate nove作者: ALLAY 時間: 2025-3-28 16:20 作者: jet-lag 時間: 2025-3-28 21:19 作者: 很像弓] 時間: 2025-3-28 23:37
Concluding Remarks: Reasonable Doubtlight (TL) images is emerging as?a label-free, faster, low-cost alternative. However, existing approaches utilize 3D networks for one-to-one voxel level?dense prediction, which necessitates a frequent and time-consuming Z-axis imaging process. Moreover, 3D convolutions inevitably lead?to significant作者: 油氈 時間: 2025-3-29 05:14 作者: Kinetic 時間: 2025-3-29 10:36
https://doi.org/10.1007/978-3-642-78411-8l modalities, manual annotation,?and computational constraints remain. We introduce ., a?novel framework that bridges this gap by seamlessly integrating dual-modality knowledge distillation and quantization-aware contrastive learning. This approach enables the adaptation of?large VL models, like CLI作者: 使痛苦 時間: 2025-3-29 14:32 作者: Retrieval 時間: 2025-3-29 16:30
Computer Vision – ECCV 2024978-3-031-73390-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 自作多情 時間: 2025-3-29 21:46 作者: esthetician 時間: 2025-3-30 02:18 作者: Sputum 時間: 2025-3-30 04:18 作者: 絕種 時間: 2025-3-30 08:43
Making the Physical Therapy Entertainingnt in success rate from Res-152?to DenseNet-121. Moreover, we propose the masked fine-tuning to further strengthen our method in attacking a single class, which surpasses existing single-target methods.作者: reptile 時間: 2025-3-30 15:10 作者: Feature 時間: 2025-3-30 18:49
Ambient Intelligence for Healthlevels. On the macro level, we propose a progressive target-styled feature augmentation (PTFA) that establishes a series of intermediate domains to enable the model to progressively?adapt to the target domain. Throughout this process, the source classifier is evolved to recognize target-styled sourc作者: 窩轉脊椎動物 時間: 2025-3-30 20:54
Embedded Microelectronic Subsystemsflicting blur and general data during optimization. The CFM fuses the well-optimized prior from?these distinct domains cost-effectively and efficiently based on?model interpolation. By integrating these two modules, PBaSR achieves commendable performance on both general and blur data without?any add作者: 嬰兒 時間: 2025-3-31 02:43
Context in Pervasive Environments performance on?the proposed datasets and outperforms representative transfer learning methods for vision-language models. Furthermore, extensive ablations and visualizations exhibit the effectiveness of the proposed method. The datasets and source code are available?at ..作者: 供過于求 時間: 2025-3-31 08:01
https://doi.org/10.1007/978-0-387-46264-6int?cloud analysis that is invariant to arbitrary rotations while maintaining high accuracy. We verify the performance on various benchmarks?with supreme results obtained surpassing the previous state-of-the-art?by a large margin. We achieve an overall accuracy of . (+4.7%) on ModelNet40, . (+12.8%)作者: Institution 時間: 2025-3-31 09:46
Embedded Microelectronic Subsystems text representation using?a style tokenizer. This alignment effectively minimizes the impact?on the effectiveness of text prompts. Furthermore, we collect?a well-labeled style dataset named Style30k to train a style feature extractor capable of accurately representing style while excluding other co作者: comely 時間: 2025-3-31 14:35 作者: climax 時間: 2025-3-31 19:45 作者: ARC 時間: 2025-3-31 22:29 作者: 光明正大 時間: 2025-4-1 04:39 作者: Panacea 時間: 2025-4-1 07:20
https://doi.org/10.1007/978-3-031-43461-7the-art performance in the large vocabulary?LVIS dataset with different backbones and architectures. It generalizes well to more difficult evaluation metrics, relatively balanced datasets, and the mask branch. This is the first attempt to reveal and explore rectifying of the regression bias in long-作者: Exuberance 時間: 2025-4-1 10:58 作者: recession 時間: 2025-4-1 16:08
https://doi.org/10.1007/978-3-658-17433-0stency for each modality. After filtering out ST voxels?with high ST entropy, Latte conducts cross-modal learning for each?point and pixel by attending to those with reliable and consistent predictions among both spatial and temporal neighborhoods. Experimental results show that Latte achieves state作者: modest 時間: 2025-4-1 22:18 作者: 晚間 時間: 2025-4-1 23:30
