作者: Pathogen 時間: 2025-3-21 23:55
Ambulanzmanual P?diatrie von A-Zclass-mean features to align . features w.r.t their .. Experiments show that this significantly improves KD performance. Moreover, we empirically find that . produces features that have notably smaller norms than .’s, motivating us to regularize . to produce large-norm features. Experiments show tha作者: 裂隙 時間: 2025-3-22 03:35 作者: 逃避現(xiàn)實 時間: 2025-3-22 04:49 作者: 斜 時間: 2025-3-22 08:55 作者: 多節(jié) 時間: 2025-3-22 15:19 作者: 多節(jié) 時間: 2025-3-22 20:33 作者: Gene408 時間: 2025-3-23 00:24
Ambulanzmanual P?diatrie von A-Z achieve this, which can be either integrated during adaptation or directly used at inference time. Comprehensive experiments on popular OOD classification benchmarks demonstrate the effectiveness of the proposed approaches in mitigating miscalibration while maintaining discriminative performance, w作者: 銼屑 時間: 2025-3-23 04:11
Ambulanzmanual P?diatrie von A-Zesenting the dataset-level, class-level, and instance-level features. Another helpful property of the hierarchical architecture is that HMN naturally ensures good independence among images despite achieving information sharing. This enables instance-level pruning for HMN to reduce redundant informat作者: Muscularis 時間: 2025-3-23 06:08
Ambulanzmanual P?diatrie von A-Zrk that tunes the coefficients of long skip connection and effectively stabilizes the training process. Then, we propose a conflict gradient surgery strategy, which progressively integrates the adversarial gradient and optimizes the model toward a conflict-free direction. Extensive experiments on fi作者: BILL 時間: 2025-3-23 10:47 作者: 諷刺滑稽戲劇 時間: 2025-3-23 14:01
https://doi.org/10.1007/978-3-642-41893-8atures for more discriminative object features and faster convergence. By combining AugDETR with DETR-based detectors such as DINO, AlignDETR, DDQ, our models achieve performance improvements of 1.2, 1.1, and 1.0 AP in the COCO under the ResNet-50-4scale and 12 epochs setting, respectively.作者: CLAP 時間: 2025-3-23 19:53 作者: 下船 時間: 2025-3-23 22:43
Ambulanzmanual P?diatrie von A-Zsing semantic and temporal meaning into the feature space. The resulting cluster assignments are used as targets for a symmetric prediction task where the video model predicts cluster assignment of the projection network and vice versa. Experimental results on ten datasets across three benchmarks va作者: corpuscle 時間: 2025-3-24 03:01 作者: Indict 時間: 2025-3-24 10:24 作者: 輕信 時間: 2025-3-24 12:00
Elevating , Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning,encoders, fostering a more cohesive and synergistic prompt processing mechanism that significantly reduces the semantic gap between the sketch and photo embeddings. In addition to pioneering multi-modal prompt learning, we propose two innovative strategies for further refining the embedding space. T作者: Endometrium 時間: 2025-3-24 18:43 作者: constitute 時間: 2025-3-24 19:44 作者: frivolous 時間: 2025-3-25 02:37 作者: 半導體 時間: 2025-3-25 03:46
Stripe Observation Guided Inference Cost-Free Attention Mechanism, several standard benchmarks show the effectiveness of ASR in generally improving the performance of various scenarios without any elaborated model crafting. We also provide experimental evidence for how the proposed ASR can enhance model performance. ..作者: 未成熟 時間: 2025-3-25 07:41
,The NeRFect Match: Exploring NeRF Features for?Visual Localization, configurations. Significantly, we introduce NeRFMatch, an advanced 2D-3D matching function that capitalizes on the internal knowledge of NeRF learned via view synthesis. Our evaluation of NeRFMatch on standard localization benchmarks, within a structure-based pipeline, achieves competitive results 作者: overweight 時間: 2025-3-25 12:14
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance,tially-aware score distillation sampling (SSDS) from pretrained diffusion models to guide the positioning of objects. Our proposed framework emphasizes spatial alignment of objects, compared with standard score distillation sampling, and thus achieves more accurate results. Extensive experiments val作者: Apoptosis 時間: 2025-3-25 17:36 作者: Enzyme 時間: 2025-3-25 21:57
,Leveraging Hierarchical Feature Sharing for?Efficient Dataset Condensation,esenting the dataset-level, class-level, and instance-level features. Another helpful property of the hierarchical architecture is that HMN naturally ensures good independence among images despite achieving information sharing. This enables instance-level pruning for HMN to reduce redundant informat作者: Pruritus 時間: 2025-3-26 00:45
,Improving Domain Generalization in?Self-supervised Monocular Depth Estimation via?Stabilized Adversrk that tunes the coefficients of long skip connection and effectively stabilizes the training process. Then, we propose a conflict gradient surgery strategy, which progressively integrates the adversarial gradient and optimizes the model toward a conflict-free direction. Extensive experiments on fi作者: DEAF 時間: 2025-3-26 07:09
,denoiSplit: A Method for?Joint Microscopy Image Splitting and?Unsupervised Denoising,cally formulated noise models and the suitable adjustment of KL-divergence loss for the high-dimensional hierarchical latent space we are training. We showcase the performance of . across multiple tasks on real-world microscopy images. Additionally, we perform qualitative and quantitative evaluation作者: 激怒某人 時間: 2025-3-26 11:48
,AugDETR: Improving Multi-scale Learning for?Detection Transformer,atures for more discriminative object features and faster convergence. By combining AugDETR with DETR-based detectors such as DINO, AlignDETR, DDQ, our models achieve performance improvements of 1.2, 1.1, and 1.0 AP in the COCO under the ResNet-50-4scale and 12 epochs setting, respectively.作者: promote 時間: 2025-3-26 16:03 作者: Accrue 時間: 2025-3-26 20:47
SIGMA: Sinkhorn-Guided Masked Video Modeling,sing semantic and temporal meaning into the feature space. The resulting cluster assignments are used as targets for a symmetric prediction task where the video model predicts cluster assignment of the projection network and vice versa. Experimental results on ten datasets across three benchmarks va作者: Antecedent 時間: 2025-3-27 00:15
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis,ti-view video data only, zero-shot real-world generalization experiments show promising results in multiple domains, including robotics, object permanence, and driving environments. We believe our framework can potentially unlock powerful applications in rich dynamic scene understanding, perception 作者: 全面 時間: 2025-3-27 01:54
,Distribution Alignment for?Fully Test-Time Adaptation with?Dynamic Online Data Streams, for TTA. This loss guides the distributions of test-time features back towards the source distributions, which ensures compatibility with the well-trained source model and eliminates the pitfalls associated with conflicting optimization objectives. Moreover, we devise a domain shift detection mecha作者: 委屈 時間: 2025-3-27 07:28
0302-9743 reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-72690-3978-3-031-72691-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Presbyopia 時間: 2025-3-27 12:37 作者: 擴張 時間: 2025-3-27 15:51 作者: 演繹 時間: 2025-3-27 20:03 作者: lethal 時間: 2025-3-27 23:42 作者: LEVER 時間: 2025-3-28 05:16 作者: 注意力集中 時間: 2025-3-28 09:35 作者: 配置 時間: 2025-3-28 14:06
https://doi.org/10.1007/978-3-642-41893-8se a method to synthesize noise on existing noisy images when noise-free images are not available. Our noise model is straightforward to calibrate and provides notable improvements over competing noise models on downstream tasks.作者: Creatinine-Test 時間: 2025-3-28 15:20 作者: cleaver 時間: 2025-3-28 19:23
Ambulanzmanual P?diatrie von A-Zow well algorithms capture spatial and semantic relationships across hierarchical levels. We benchmark modern models across three different tasks and analyze their strengths and weaknesses across objects, parts, and subparts. To facilitate community-wide progress, we publicly release our dataset at ..作者: ARM 時間: 2025-3-29 00:06
Elevating , Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning,R, and fine-grained zero-shot SBIR, by leveraging the vision-language foundation model CLIP. While recent endeavors have employed CLIP to enhance SBIR, these approaches predominantly follow uni-modal prompt processing and overlook to exploit CLIP’s integrated visual and textual capabilities fully. T作者: 導師 時間: 2025-3-29 04:53 作者: 卵石 時間: 2025-3-29 08:56
,3DFG-PIFu: 3D Feature Grids for?Human Digitization from?Sparse Views,d human from sparse views. However, given . images, these models would only combine features from these images in a point-wise and localized manner. In other words, the . images are processed individually and are only combined in a very narrow fashion at the end of the pipeline. To a large extent, t作者: A簡潔的 時間: 2025-3-29 15:02 作者: Overdose 時間: 2025-3-29 17:48 作者: 擴大 時間: 2025-3-29 19:43
Stripe Observation Guided Inference Cost-Free Attention Mechanism,stage. The existing SRP methods have successfully considered many architectures, such as normalizations, convolutions, etc. However, the widely used but computationally expensive attention modules cannot be directly implemented by SRP due to the inherent multiplicative manner and the modules’ output作者: Eosinophils 時間: 2025-3-30 00:54
,The NeRFect Match: Exploring NeRF Features for?Visual Localization,to enhance pose regression and scene coordinate regression models by augmenting the training database, providing auxiliary supervision through rendered images, or serving as an iterative refinement module. We extend its recognized advantages – its ability to provide a compact scene representation wi作者: 遵循的規(guī)范 時間: 2025-3-30 04:50 作者: 使迷醉 時間: 2025-3-30 11:24 作者: byline 時間: 2025-3-30 14:15 作者: BRINK 時間: 2025-3-30 19:36 作者: cylinder 時間: 2025-3-30 23:50
,milliFlow: Scene Flow Estimation on?mmWave Radar Point Cloud for?Human Motion Sensing,as been conducted is predominantly based on cameras, whose intrusive nature limits their use in smart home applications. To address this, mmWave radars have gained popularity due to their privacy-friendly features. In this work, we propose milliFlow, a novel deep learning approach to estimate scene 作者: ectropion 時間: 2025-3-31 02:52
,denoiSplit: A Method for?Joint Microscopy Image Splitting and?Unsupervised Denoising,s dual approach has important applications in fluorescence microscopy, where semantic image splitting has important applications but noise does generally hinder the downstream analysis of image content. Image splitting involves dissecting an image into its distinguishable semantic structures. We sho作者: 龍蝦 時間: 2025-3-31 05:07 作者: inferno 時間: 2025-3-31 11:23
,Spherical World-Locking for?Audio-Visual Localization in?Egocentric Videos,ose Spherical World-Locking (SWL) as a general framework for egocentric scene representation, which implicitly transforms multisensory streams with respect to measurements of head orientation. Compared to conventional head-locked egocentric representations with a 2D planar field-of-view, SWL effecti作者: Blemish 時間: 2025-3-31 14:09
,SPIN: Hierarchical Segmentation with?Subpart Granularity in?Natural Images,ataset with subpart annotations for natural images, which we call SPIN (.ub.art.mage.et). We also introduce two novel evaluation metrics to evaluate how well algorithms capture spatial and semantic relationships across hierarchical levels. We benchmark modern models across three different tasks and 作者: 分開如此和諧 時間: 2025-3-31 18:56 作者: 散步 時間: 2025-4-1 00:00
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis,novel view synthesis methods typically require videos from many different camera viewpoints, necessitating careful recording setups, and significantly restricting their utility in the wild as well as in terms of embodied AI applications. In this paper, we propose ., a controllable monocular dynamic 作者: crescendo 時間: 2025-4-1 02:37 作者: Pde5-Inhibitors 時間: 2025-4-1 08:42
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/242360.jpg作者: 模仿 時間: 2025-4-1 10:59 作者: surmount 時間: 2025-4-1 15:45
Ambulanzmanual P?diatrie von A-Zork. Treating .’s feature as knowledge, prevailing methods train . by aligning its features with the .’s, e.g., by minimizing the KL-divergence or L2-distance between their (logits) features. While it is natural to assume that better feature alignment helps distill .’s knowledge, simply forcing this作者: 廢止 時間: 2025-4-1 19:08
Ambulanzmanual P?diatrie von A-Zd human from sparse views. However, given . images, these models would only combine features from these images in a point-wise and localized manner. In other words, the . images are processed individually and are only combined in a very narrow fashion at the end of the pipeline. To a large extent, t作者: 身體萌芽 時間: 2025-4-2 00:32
Ambulanzmanual P?diatrie von A-Zations in which, starting from a blank canvas or an image, a user specifies a sequence of localized image modifications using binary masks and text prompts. Our generator operates in two phases. First, a context encoder processes the current canvas and user mask to produce a compact global context t
