作者: Indurate 時間: 2025-3-21 23:51 作者: forecast 時間: 2025-3-22 01:22
K. Warner Schaie,A. M. O’Hanlonby Taylor series, we design LSFConv, which learns both low-order fundamental and high-order refinement information from explicitly encoded local geometric structures. Integrating the GPM and LSFConv as fundamental components, we construct GPSFormer, a cutting-edge Transformer that effectively captur作者: Feedback 時間: 2025-3-22 07:54 作者: 酷熱 時間: 2025-3-22 11:55 作者: Saline 時間: 2025-3-22 14:56
Auf dem Weg in die ?Rentner-Demokratie“?wledge question-answering pairs, and 200+ skill-code pairs. We conduct continuous block search, knowledge question and answering, and tech tree mastery to evaluate the performance. Extensive experiments show that STEVE achieves at most 1.5. faster unlocking key tech trees and 2.5. quicker in block s作者: Saline 時間: 2025-3-22 20:05 作者: preeclampsia 時間: 2025-3-22 21:33 作者: 悶熱 時間: 2025-3-23 03:00
Gudrun Schneider,Gereon Heuft,Robin Lohmannce from textual input. Additionally, we introduce a feature interaction mechanism that combines a mixed attention module with an AdaIN-mean operation to seamlessly merge the two streams. This mechanism not only enhances the fidelity of identity and semantic consistency but also enables convenient co作者: abracadabra 時間: 2025-3-23 09:25 作者: STAT 時間: 2025-3-23 13:33
Innere Welten und ?u?ere Realit?tene solution for explainable human visual scanpath prediction. Extensive experiments on diverse eye-tracking datasets demonstrate the effectiveness of GazeXplain in both scanpath prediction and explanation, offering valuable insights into human visual attention and cognitive processes.作者: 節(jié)省 時間: 2025-3-23 17:00
Vom ?lterwerden des Psychoanalytikers to counterfactual scenarios. This enables LVLMs to explicitly reason step-by-step rather than relying on biased knowledge, leading to more generalizable solutions. Our extensive evaluation demonstrates that CoCT outperforms existing approaches on tasks requiring reasoning under knowledge bias. Our 作者: STING 時間: 2025-3-23 21:56
,Walker: Self-supervised Multiple Object Tracking by?Walking on?Temporal Appearance Graphs, first self-supervised tracker to achieve competitive performance on MOT17, DanceTrack, and BDD100K. Remarkably, our proposal outperforms the previous self-supervised trackers even when drastically reducing the annotation requirements by up to 400..作者: 付出 時間: 2025-3-24 00:18
,Spatio-Temporal Proximity-Aware Dual-Path Model for?Panoramic Activity Recognition,e comprises individual-to-global and individual-to-social paths, mutually reinforcing each other’s task with global-local context through multiple layers. Through extensive experiments, we validate the effectiveness of the spatio-temporal proximity among individuals and the dual-path architecture in作者: acquisition 時間: 2025-3-24 02:21 作者: adroit 時間: 2025-3-24 10:06
,FSD-BEV: Foreground Self-distillation for?Multi-view 3D Object Detection,ome distillation strategies. Additionally, we design two Point Cloud Intensification (PCI) strategies to compensate for the sparsity of point clouds by frame combination and pseudo point assignment. Finally, we develop a Multi-Scale Foreground Enhancement (MSFE) module to extract and fuse multi-scal作者: handle 時間: 2025-3-24 12:08
,MATHVERSE: Does Your Multi-modal LLM Truly See the?Diagrams in?Visual Math Problems?, addition, we propose a Chain-of-Thought (CoT) evaluation strategy for a fine-grained assessment of the output answers. Rather than naively judging true or false, we employ GPT-4(V) to adaptively assess each step with error analysis to derive a total score, which can reveal the inner CoT reasoning q作者: MAPLE 時間: 2025-3-24 16:44
See and Think: Embodied Agent in Virtual Environment,wledge question-answering pairs, and 200+ skill-code pairs. We conduct continuous block search, knowledge question and answering, and tech tree mastery to evaluate the performance. Extensive experiments show that STEVE achieves at most 1.5. faster unlocking key tech trees and 2.5. quicker in block s作者: 預防注射 時間: 2025-3-24 19:57 作者: 油氈 時間: 2025-3-24 23:25
,VisFocus: Prompt-Guided Vision Encoders for?OCR-Free Dense Document Understanding,ure enhancements with a novel pre-training task, using language masking on a snippet of the document text fed to the visual encoder in place of the prompt, to empower the model with focusing capabilities. Consequently, VisFocus learns to allocate its attention to text patches pertinent to the provid作者: transient-pain 時間: 2025-3-25 04:03 作者: 弄臟 時間: 2025-3-25 08:40 作者: 嘲弄 時間: 2025-3-25 14:33 作者: 打算 時間: 2025-3-25 19:46
,Learning Chain of?Counterfactual Thought for?Bias-Robust Vision-Language Reasoning, to counterfactual scenarios. This enables LVLMs to explicitly reason step-by-step rather than relying on biased knowledge, leading to more generalizable solutions. Our extensive evaluation demonstrates that CoCT outperforms existing approaches on tasks requiring reasoning under knowledge bias. Our 作者: Outwit 時間: 2025-3-25 21:26
Alte und kranke Frauen: 12 Biographienumber-free motion synthesis. Besides, based on our framework, the current single-person motion spatial control method could be seamlessly integrated, achieving precise control of multi-person motion. Extensive experiments demonstrate the superior performance of our method and our capability to infer single and multi-human motions simultaneously.作者: Predigest 時間: 2025-3-26 01:53 作者: 保全 時間: 2025-3-26 08:20 作者: Nomogram 時間: 2025-3-26 09:40
,PISR: Polarimetric Neural Implicit Surface Reconstruction for?Textureless and?Specular Objects,-grid-based neural signed distance function to accelerate the reconstruction. Experimental results demonstrate that PISR achieves higher accuracy and robustness, with an L1 Chamfer distance of 0.5 mm and an F-score of 99.5% at 1?mm, while converging . faster than previous polarimetric surface reconstruction methods.作者: assail 時間: 2025-3-26 16:01
0302-9743 n; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation..978-3-031-73241-6978-3-031-73242-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 中世紀 時間: 2025-3-26 20:31
Theorie und Empirie Lebenslangen Lernense . and . space DiffiT models and show SOTA performance on a variety of class-conditional and unconditional synthesis tasks at different resolutions. The Latent DiffiT model achieves a new SOTA FID score of . on . dataset while having ., . less parameters than other Transformer-based diffusion models such as MDT and DiT, respectively.作者: 清楚說話 時間: 2025-3-26 23:05
R. Schmitz-Scherzer,A. Kruse,E. Olbrichring parameters, along with custom HTML embedding for capturing essential semantic and hierarchical information from HTML. Extensive experiments, including customized quantitative evaluations for this specific task, are conducted to evaluate the quality of the generated results. The dataset and code can be accessed at GitHub (.).作者: 暗指 時間: 2025-3-27 05:01
Gewichtsver?nderungen (Zunahme und Abnahme)ion. With images, SceneGraphLoc achieves performance close to that of state-of-the-art techniques depending on large image databases, while requiring . orders-of-magnitude less storage and operating orders-of-magnitude faster. Code and models are available at ..作者: corpuscle 時間: 2025-3-27 06:22 作者: 免費 時間: 2025-3-27 12:46
Die Gesellschaft des langen Lebense rotated crop, we propose an Optimal Transport (OT) loss that automatically assigns similar original image patches to each rotated crop patch for reconstruction. MA3E (Our code will be released at: .) demonstrates more competitive performance than existing pre-training methods on seven different RS image datasets in three downstream tasks.作者: evince 時間: 2025-3-27 15:49 作者: CRATE 時間: 2025-3-27 20:27 作者: Hot-Flash 時間: 2025-3-27 23:08 作者: mendacity 時間: 2025-3-28 04:33 作者: TRAWL 時間: 2025-3-28 07:08
,Masked Angle-Aware Autoencoder for?Remote Sensing Images,e rotated crop, we propose an Optimal Transport (OT) loss that automatically assigns similar original image patches to each rotated crop patch for reconstruction. MA3E (Our code will be released at: .) demonstrates more competitive performance than existing pre-training methods on seven different RS image datasets in three downstream tasks.作者: Costume 時間: 2025-3-28 11:38
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. The papers deal with topics such as computer vision; machine learning; deep neural netwo作者: ineffectual 時間: 2025-3-28 17:19 作者: critic 時間: 2025-3-28 21:33 作者: 卜聞 時間: 2025-3-28 23:08
,Walker: Self-supervised Multiple Object Tracking by?Walking on?Temporal Appearance Graphs,es of all videos, and instance IDs to associate them through time. To this end, we introduce Walker, the first self-supervised tracker that learns from videos with sparse bounding box annotations, and no tracking labels. First, we design a quasi-dense temporal object appearance graph, and propose a 作者: drusen 時間: 2025-3-29 05:04 作者: CRAMP 時間: 2025-3-29 11:15 作者: 令人悲傷 時間: 2025-3-29 15:05 作者: 咯咯笑 時間: 2025-3-29 17:50
,GPSFormer: A Global Perception and?Local Structure Fitting-Based Transformer for?Point Cloud Underslar point clouds without reliance on external data remains a formidable challenge. To address this problem, we propose ., an innovative .lobal .erception and Local .tructure .itting-based Transf., which learns detailed shape information from point clouds with remarkable precision. The core of GPSFor作者: 煩躁的女人 時間: 2025-3-29 22:20 作者: falsehood 時間: 2025-3-30 03:20
,FSD-BEV: Foreground Self-distillation for?Multi-view 3D Object Detection,friendly perception solution for autonomous driving, there is still a performance gap compared to LiDAR-based methods. In recent years, several cross-modal distillation methods have been proposed to transfer beneficial information from teacher models to student models, with the aim of enhancing perf作者: Granular 時間: 2025-3-30 05:26
,SceneGraphLoc: Cross-Modal Coarse Visual Localization on?3D Scene Graphs,hs comprise multiple modalities, including object-level point clouds, images, attributes, and relationships between objects, offering a lightweight and efficient alternative to conventional methods that rely on extensive image databases. Given these modalities, the proposed method SceneGraphLoc lear作者: 共同確定為確 時間: 2025-3-30 11:59 作者: 后退 時間: 2025-3-30 15:53 作者: 爭吵 時間: 2025-3-30 19:04
See and Think: Embodied Agent in Virtual Environment,hotspot. This paper proposes STEVE, a comprehensive and visionary embodied agent in the Minecraft virtual environment. STEVE comprises three key components: vision perception, language instruction, and code action. Vision perception involves interpreting visual information in the environment, which 作者: ALLAY 時間: 2025-3-30 21:11 作者: 歡樂東方 時間: 2025-3-31 03:15 作者: obscurity 時間: 2025-3-31 05:33
,VisFocus: Prompt-Guided Vision Encoders for?OCR-Free Dense Document Understanding,cade of vision and language models. The text component can either be extracted explicitly with the use of external OCR models in OCR-based approaches, or alternatively, the vision model can be endowed with reading capabilities in OCR-free approaches. Typically, the queries to the model are input exc作者: 里程碑 時間: 2025-3-31 10:17
,Masked Angle-Aware Autoencoder for?Remote Sensing Images,ade promising progress. However, they have overlooked the diverse angles present in RS objects. This paper proposes the Masked Angle-Aware Autoencoder (MA3E) to perceive and learn angles during pre-training. We design a . operation to create the rotated crop with random orientation on each original 作者: 原諒 時間: 2025-3-31 14:17 作者: OVER 時間: 2025-3-31 19:48 作者: Urgency 時間: 2025-4-1 01:23
,GazeXplain: Learning to?Predict Natural Language Explanations of?Visual Scanpaths,arious applications. Traditional scanpath models predict the where and when of gaze shifts without providing explanations, creating a gap in understanding the rationale behind fixations. To bridge this gap, we introduce GazeXplain, a novel study of visual scanpath prediction and explanation. This in作者: 里程碑 時間: 2025-4-1 05:45 作者: Coeval 時間: 2025-4-1 07:39 作者: 媽媽不開心 時間: 2025-4-1 10:26
