作者: moratorium 時(shí)間: 2025-3-21 23:29 作者: GRE 時(shí)間: 2025-3-22 04:24
,A Unified Anomaly Synthesis Strategy with?Gradient Ascent for?Industrial Anomaly Detection and?Loca controllability of anomaly synthesis, particularly for weak defects that are very similar to normal regions. In this paper, we propose Global and Local Anomaly co-Synthesis Strategy (GLASS), a novel unified framework designed to synthesize a broader coverage of anomalies under the manifold and hype作者: 我不明白 時(shí)間: 2025-3-22 05:53 作者: 遵循的規(guī)范 時(shí)間: 2025-3-22 12:37 作者: pericardium 時(shí)間: 2025-3-22 13:56
,Spatial-Temporal Multi-level Association for?Video Object Segmentation,ey do not address the issues of sufficient target interaction and efficient parallel processing simultaneously, thereby constraining the learning of dynamic, target-aware features. To tackle these limitations, this paper proposes a spatial-temporal multi-level association framework, which jointly as作者: pericardium 時(shí)間: 2025-3-22 18:13 作者: 燕麥 時(shí)間: 2025-3-22 21:58
,Safeguard Text-to-Image Diffusion Models with?Human Feedback Inversion,ontent. Existing models rely heavily on internet-crawled data, wherein problematic concepts persist due to incomplete filtration processes. While previous approaches somewhat alleviate the issue, they often rely on text-specified concepts, introducing challenges in accurately capturing nuanced conce作者: Malfunction 時(shí)間: 2025-3-23 01:44 作者: 我沒(méi)有命令 時(shí)間: 2025-3-23 07:22 作者: Androgen 時(shí)間: 2025-3-23 10:33
UniProcessor: A Text-Induced Unified Low-Level Image Processor,ng-based methods have shown superior performance for various image processing tasks in terms of single-task conditions. However, they require to train separate models for different degradations and levels, which limits the generalization abilities of these models and restricts their applications in 作者: considerable 時(shí)間: 2025-3-23 17:19 作者: caldron 時(shí)間: 2025-3-23 20:49 作者: 口訣法 時(shí)間: 2025-3-24 01:30 作者: 熱心助人 時(shí)間: 2025-3-24 02:59
,PatchRefiner: Leveraging Synthetic Data for?Real-Domain High-Resolution Monocular Metric Depth Estidepth estimation is crucial for applications such as autonomous driving, 3D generative modeling, and 3D reconstruction, achieving accurate high-resolution depth in real-world scenarios is challenging due to the constraints of existing architectures and the scarcity of detailed real-world depth data.作者: 講個(gè)故事逗他 時(shí)間: 2025-3-24 08:15 作者: Hyaluronic-Acid 時(shí)間: 2025-3-24 10:43
,Towards Robust Event-Based Networks for?Nighttime via?Unpaired Day-to-Night Event Translation,aptured during the day. This difference causes performance degradation when applying night events to a model trained solely on day events. This limitation persists due to a lack of annotated night events. To overcome the limitation, we aim to alleviate data imbalance by translating annotated day dat作者: languor 時(shí)間: 2025-3-24 16:03 作者: 罵人有污點(diǎn) 時(shí)間: 2025-3-24 19:49
,A Riemannian Approach for?Spatiotemporal Analysis and?Generation of?4D Tree-Shaped Structures, shapes bend, stretch and change in their branching structure over time as they deform, grow, and interact with their environment. Our key contribution is the representation of tree-like 3D shapes using Square Root Velocity Function Trees (SRVFT) [.]. By solving the spatial registration in the SRVFT作者: lobster 時(shí)間: 2025-3-25 01:39 作者: 一瞥 時(shí)間: 2025-3-25 03:44 作者: EVEN 時(shí)間: 2025-3-25 09:30 作者: 豐富 時(shí)間: 2025-3-25 13:24 作者: staging 時(shí)間: 2025-3-25 17:21 作者: 俗艷 時(shí)間: 2025-3-25 21:54
,Rethinking Features-Fused-Pyramid-Neck for?Object Detection,ling in extended spatial windows (ESD) to retain spatial features and enhance lightweight convolutional techniques (GSConvE). These advancements culminate in our secondary features alignment solution (SA) for real-time detection, achieving state-of-the-art results on Pascal VOC and MS COCO. Code will be released at ..作者: 老巫婆 時(shí)間: 2025-3-26 02:17
Conference proceedings 2025t 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 and Motion estimation..作者: Obloquy 時(shí)間: 2025-3-26 04:57 作者: 不幸的人 時(shí)間: 2025-3-26 08:58 作者: Obstreperous 時(shí)間: 2025-3-26 15:22 作者: 燈泡 時(shí)間: 2025-3-26 19:36
Frerich Frerichs,Gerhard Naegeleine design service and define quantitative metrics to measure the quality of the extracted sprites. Experiments show that our method significantly outperforms baselines for similar decomposition tasks in terms of the quality/efficiency tradeoff.作者: 負(fù)擔(dān) 時(shí)間: 2025-3-26 20:57
,LTRL: Boosting Long-Tail Recognition via?Reflective Learning, are lightweight enough to plug?and play with existing long-tail learning methods, achieving state-of-the-art performance in popular long-tail visual benchmarks. The experimental results highlight the great potential of reflecting learning in dealing with long-tail recognition. The code will?be available at ..作者: AMITY 時(shí)間: 2025-3-27 03:24 作者: EWER 時(shí)間: 2025-3-27 08:30 作者: Infraction 時(shí)間: 2025-3-27 11:02 作者: 偏離 時(shí)間: 2025-3-27 14:19
Analyse und Interpretation der Ergebnisseons and high dynamic range which?are well-suited for correspondence tasks such as optical flow and?point tracking. However, so far there is still a lack of comprehensive benchmarks for correspondence tasks with both event data and images. To fill this gap, we propose ., a large-scale?and diverse ben作者: GLOOM 時(shí)間: 2025-3-27 18:25
https://doi.org/10.1007/978-3-642-72495-4 controllability of anomaly synthesis, particularly for weak defects that are very similar to normal regions. In this paper, we propose Global and Local Anomaly co-Synthesis Strategy (GLASS), a novel unified framework designed to synthesize a broader coverage of anomalies under the manifold and hype作者: 容易生皺紋 時(shí)間: 2025-3-28 01:52 作者: BROOK 時(shí)間: 2025-3-28 04:50 作者: 有節(jié)制 時(shí)間: 2025-3-28 10:02
https://doi.org/10.1007/978-3-642-72495-4ey do not address the issues of sufficient target interaction and efficient parallel processing simultaneously, thereby constraining the learning of dynamic, target-aware features. To tackle these limitations, this paper proposes a spatial-temporal multi-level association framework, which jointly as作者: CRUE 時(shí)間: 2025-3-28 11:03
https://doi.org/10.1007/978-3-642-72495-4ate on high-resolution images (.., 8 megapixels) to capture the fine details. However, this comes at the cost of considerable computational complexity, hindering the deployment in latency-sensitive scenarios. In this paper, we introduce ., a novel approach that enhances . predictions with . refineme作者: Between 時(shí)間: 2025-3-28 17:59
Die Arnsberger ?Lern-Werkstadt“ Demenzontent. Existing models rely heavily on internet-crawled data, wherein problematic concepts persist due to incomplete filtration processes. While previous approaches somewhat alleviate the issue, they often rely on text-specified concepts, introducing challenges in accurately capturing nuanced conce作者: Sad570 時(shí)間: 2025-3-28 19:02 作者: Entropion 時(shí)間: 2025-3-28 23:03
Gabriella Hinn,Ursula Woltering input image quality, which struggles to achieve high-fidelity rendering when provided with low-quality sparse input viewpoints. Previous methods for NeRF restoration are tailored for specific degradation type, ignoring the generality of restoration. To overcome this limitation, we propose a generic作者: hypotension 時(shí)間: 2025-3-29 06:33 作者: LAITY 時(shí)間: 2025-3-29 09:10 作者: Felicitous 時(shí)間: 2025-3-29 14:35
https://doi.org/10.1007/978-3-531-90882-3of “l(fā)earning shortcuts”, wherein the model fails to learn the patterns of normal samples as it should, opting instead for shortcuts such as identity mapping or artificial noise elimination. Consequently, the model becomes unable to reconstruct genuine anomalies as normal instances, resulting in a fa作者: set598 時(shí)間: 2025-3-29 18:43 作者: 淺灘 時(shí)間: 2025-3-29 19:53 作者: 繁榮地區(qū) 時(shí)間: 2025-3-30 01:55 作者: calamity 時(shí)間: 2025-3-30 06:04
Altern und bürgerschaftliches Engagementaptured during the day. This difference causes performance degradation when applying night events to a model trained solely on day events. This limitation persists due to a lack of annotated night events. To overcome the limitation, we aim to alleviate data imbalance by translating annotated day dat作者: 摘要 時(shí)間: 2025-3-30 10:25
Altern und bürgerschaftliches Engagementnotably their inability to leverage meaningful inter-patch relationships, leading to the generation of simplistic and semantically vague data, impacting quantization accuracy. CLAMP-ViT employs a two-stage approach, cyclically adapting between data generation and model quantization. Specifically, we作者: 遺產(chǎn) 時(shí)間: 2025-3-30 16:25 作者: ENACT 時(shí)間: 2025-3-30 16:58 作者: 繁殖 時(shí)間: 2025-3-31 00:43 作者: 鉆孔 時(shí)間: 2025-3-31 01:23
978-3-031-72854-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 空中 時(shí)間: 2025-3-31 08:41 作者: BUDGE 時(shí)間: 2025-3-31 11:09 作者: myocardium 時(shí)間: 2025-3-31 17:23 作者: 寒冷 時(shí)間: 2025-3-31 18:32 作者: 謊言 時(shí)間: 2025-4-1 00:33 作者: 委派 時(shí)間: 2025-4-1 03:26
,An Explainable Vision Question Answer Model via?Diffusion Chain-of-Thought,ch reasoning step, while the internal diffusion process describes the probability of the question transitioning to each step of the explanation. Through experiments on eight sub-tasks in the ScienceQA dataset, we demonstrate that our diffusion chain-of-thought model outperforms GPT-3.5 in terms of t作者: 膽汁 時(shí)間: 2025-4-1 09:44
RaFE: Generative Radiance Fields Restoration,GANs) for NeRF generation to better accommodate the geometric and appearance inconsistencies present in the multi-view images. Specifically, we adopt a two-level tri-plane architecture, where the coarse level remains fixed to represent the low-quality NeRF, and a fine-level residual tri-plane to be 作者: 氣候 時(shí)間: 2025-4-1 11:19
