feature map

Benign Overfitting with Quantum Kernels UAI 2026 FeatureFool: Zero-Query Fooling of Video Models via Feature Map CVPR 2026 A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025 BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance CVPR 2025 Breaking the Low-Rank Dilemma of Linear Attention CVPR 2025 Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios? ICML 2025 DAPE V2: Process Attention Score as Feature Map for Length Extrapolation ACL 2025 Decomposed Distribution Matching in Dataset Condensation WACV 2025 Dropout Connects Transformers and CNNs: Transfer General Knowledge for Knowledge Distillation WACV 2025 FeatSharp: Your Vision Model Features, Sharper ICML 2025 Group Downsampling with Equivariant Anti-aliasing ICLR 2025 INSIGHT: Explainable Weakly-Supervised Medical Image Analysis MLHC 2025 L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation ICML 2025 Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025 PolaFormer: Polarity-aware Linear Attention for Vision Transformers ICLR 2025 ROICtrl: Boosting Instance Control for Visual Generation CVPR 2025 Sample and Oracle Efficient Reinforcement Learning for MDPs with Linearly-Realizable Value Functions COLT 2025 4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities NeurIPS 2024 A Multi-Level Framework for Accelerating Training Transformer Models ICLR 2024 CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective CVPR 2024 DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation ECCV 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 G2L-CariGAN: Caricature Generation from Global Structure to Local Features AAAI 2024 NC-TTT: A Noise Constrastive Approach for Test-Time Training CVPR 2024 Neural Auto-designer for Enhanced Quantum Kernels ICLR 2024