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cs.CV2024

A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space

Yonghao He, Hu Su, Haiyong Yu +4

Open-set object detection (OSOD) is highly desirable for robotic manipulation in unstructured environments. However, existing OSOD methods often fail to meet the requirements of ro…

cs.CV2024

Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution

Liyan Wang, Cong Wang, Jinshan Pan +5

Ultra-High-Definition (UHD) image restoration has acquired remarkable attention due to its practical demand. In this paper, we construct UHD snow and rain benchmarks, named UHD-Sno…

cs.CV2024

Correlation Matching Transformation Transformers for UHD Image Restoration

Cong Wang, Jinshan Pan, Wei Wang +5

This paper proposes UHDformer, a general Transformer for Ultra-High-Definition (UHD) image restoration. UHDformer contains two learning spaces: (a) learning in high-resolution spac…

cs.CV2024

How Powerful Potential of Attention on Image Restoration?

Cong Wang, Jinshan Pan, Yeying Jin +5

Transformers have demonstrated their effectiveness in image restoration tasks. Existing Transformer architectures typically comprise two essential components: multi-head self-atten…

cs.CV2024

Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection

Hao Li, Wei Wang, Cong Wang +4

Single-domain generalized object detection aims to enhance a model's generalizability to multiple unseen target domains using only data from a single source domain during training.…