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Found 8 papers, 4 papers with code
A Concise but Effective Network for Image Guided Depth Completion in Autonomous Driving
Depth completion is a crucial task in autonomous driving, aiming to convert a sparse depth map into a dense depth prediction.
GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis
To segment glass surfaces with higher accuracy, we make full use of two visual foundation models: Segment Anything (SAM) and Stable Diffusion. Specifically, we devise a simple glass surface segmentor named GEM, which only consists of a SAM backbone, a simple feature pyramid, a discerning query selection module, and a mask decoder.
A Stronger Stitching Algorithm for Fisheye Images based on Deblurring and Registration
However, the fisheye image has a severe geometric distortion which may interfere with the stage of image registration and stitching.
LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image
To further prove the ability of our method, we test it on public dataset MS COCO, and the results show that our LF-YOLO has a outstanding versatility detection performance.
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation
To reduce time complexity while improving performance, a sparse representation of global nodes based on noise-free online low-rank representation is used to obtain a global graph at each scale.
A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images
Based on SCE module, a narrow network is designed for final weld information recognition.
A Unified Light Framework for Real-time Fault Detection of Freight Train Images
Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.
Affinity Fusion Graph-based Framework for Natural Image Segmentation
The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.
