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Showing 15511575 of 5387 papers

TitleStatusHype
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval0
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger0
AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing0
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning0
Hypergraph Contrastive Learning for Drug Trafficking Community DetectionCode1
Identifying Spurious Correlations using Counterfactual AlignmentCode1
Text Attribute Control via Closed-Loop Disentanglement0
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language UnderstandingCode1
Robust Concept Erasure via Kernelized Rate-Distortion MaximizationCode0
Class Distribution Shifts in Zero-Shot Learning: Learning Robust RepresentationsCode0
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution0
Dynamic interactive group decision making method on two-dimensional language0
GELDA: A generative language annotation framework to reveal visual biases in datasetsCode0
Critical Influence of Overparameterization on Sharpness-aware MinimizationCode1
When StyleGAN Meets Stable Diffusion: a W_+ Adapter for Personalized Image GenerationCode1
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation0
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models0
Seizure detection from Electroencephalogram signals via Wavelets and Graph Theory metrics0
Unlocking Spatial Comprehension in Text-to-Image Diffusion Models0
Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis0
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation PatchingCode0
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction FollowingCode5
LLaFS: When Large Language Models Meet Few-Shot Segmentation0
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models0
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language ModelsCode1
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