Titlebook: Computer Vision – ECCV 2024; 18th European Confer Aleš Leonardis,Elisa Ricci,Gül Varol Conference proceedings 2025 The Editor(s) (if applic

半导体

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. ..

未成熟

,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

overweight

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

Apoptosis

Enzyme

,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

Pruritus

,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

DEAF

,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

激怒某人

,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.

promote

Accrue

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