多模态智能感知与认知实验室
多模态智能感知与认知实验室
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Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
Hypercorrelation Evolution for Video Class-Incremental Learning
Cones: Concept Neurons in Diffusion Models for Customized Generation
Customizable Image Synthesis with Multiple Subjects
Neural Dependencies Emerging from Learning Massive Categories
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
AS-Net: Class-Aware Assistance and Suppression Network for Few-Shot Learning
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification
One-Shot Texture Retrieval Using Global Grouping Metric
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Self-Supervised Tuning for Few-Shot Segmentation
One-Shot Texture Retrieval with Global Context Metric
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