https://github.com/nifangbaage/explicit-visual-prompt
공식 코드Explicit Visual Prompting for Low-Level Structure Segmentations
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Explicit Visual Prompting for Low-Level Structure Segmentations
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection
Learning from Multi-domain Artistic Images for Arbitrary Style Transfer
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
A Practical Guide to Logical Access Voice Presentation Attack Detection
Towards Exploiting Background Knowledge for Building Conversation Systems
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty Estimation
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
Large-scale Hierarchical Alignment for Data-driven Text Rewriting
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
Style Transfer by Relaxed Optimal Transport and Self-Similarity
Point Anywhere: Directed Object Estimation from Omnidirectional Images
Causal Inference via Style Transfer for Out-of-distribution Generalisation
EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Talking Point based Ideological Discourse Analysis in News Events
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.