1

VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
As object detectors are increasingly deployed as black-box cloud services or pre-trained models with restricted access to the original …
PDF Cite arXiv IEEE
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
In deep regression, capturing the relationship among continuous labels in feature space is a fundamental challenge that has attracted …
Cite arXiv AAAI
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Enabling object detectors to recognize out-of-distribution (OOD) objects is vital for building reliable systems. A primary obstacle …
Cite arXiv AAAI
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Cocktail:Chunk-AdaptiveMixed-Precision Ouanization for Long-Context LLM inference
Recently, large language models (LLMs) have been able to handle longer and longer contexts. However, a context that is too long may …
Cite arXiv IEEE
Cocktail:Chunk-AdaptiveMixed-Precision Ouanization for Long-Context LLM inference
Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
Label Distribution Learning (LDL) is an effective approach for handling label ambiguity, as it can analyze all labels at once and …
Cite arXiv IEEE
Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
The audio watermarking technique embeds messages into audio and accurately extracts messages from the watermarked audio. Traditional …
Cite Code arXiv ACL DEMO
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
Although modern localization methods have achieved remarkable accuracy with various sensors, there are still some circumstances where …
PDF Cite ACM
FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
As the Internet of Things (IoT) evolves, the need for enhanced data-sharing to improve edge device performance has led to the adoption …
Cite ACM
Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
数字说话人脸生成技术综述
Last updated on Sep 29, 2025
Cite
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
Instruction tuning is critical to improve LLMs but usually suffers from low-quality and redundant data. Data filtering for instruction …
Cite Code arXiv ACL
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning