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Found 8 papers, 0 papers with code
SpotActor: Training-Free Layout-Controlled Consistent Image Generation
For these issues, we pioneer a novel task, Layout-to-Consistent-Image (L2CI) generation, which produces consistent and compositional images in accordance with the given layout conditions and text prompts.
OneActor: Consistent Character Generation via Cluster-Conditioned Guidance
To mitigate the overfitting challenge shared by one-shot tuning pipelines, we augment the tuning with auxiliary samples and devise two inference strategies: semantic interpolation and cluster guidance.
Tile Classification Based Viewport Prediction with Multi-modal Fusion Transformer
Viewport prediction is a crucial aspect of tile-based 360 video streaming system.
Disentangled Generation with Information Bottleneck for Few-Shot Learning
To these challenges, we propose a novel Information Bottleneck (IB) based Disentangled Generation Framework for FSL, termed as DisGenIB, that can simultaneously guarantee the discrimination and diversity of generated samples.
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report
While numerous solutions have been proposed for this problem, they are usually quite computationally demanding, demonstrating low FPS rates and power efficiency on mobile devices.
CGUA: Context-Guided and Unpaired-Assisted Weakly Supervised Person Search
On the other hand, there are numerous unpaired persons in real-world scene images.
Semantics-Guided Contrastive Network for Zero-Shot Object detection
To address these issues, we develop a novel Semantics-Guided Contrastive Network for ZSD, named ContrastZSD, a detection framework that first brings contrastive learning mechanism into the realm of zero-shot detection.
Ranked #5 on
Generalized Zero-Shot Object Detection
on MS-COCO
Contrastive Learning
Generalized Zero-Shot Object Detection
+3
Self-Weighted Robust LDA for Multiclass Classification with Edge Classes
In this regard, a novel self-weighted robust LDA with l21-norm based pairwise between-class distance criterion, called SWRLDA, is proposed for multi-class classification especially with edge classes.
