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Found 4 papers, 1 papers with code
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
In this paper we propose a novel anchor assignment strategy that adaptively separates anchors into positive and negative samples for a ground truth bounding box according to the model's learning status such that it is able to reason about the separation in a probabilistic manner.
Ranked #56 on
Object Detection
on COCO test-dev
Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
By formulating the boundary estimation problem as a CNN-based pose and shape prediction task, our method is end-to-end trainable, and more robust to occlusion and small targets than other boundary estimation methods that rely on contour estimation or image segmentation.
Simultaneous Super-Resolution of Depth and Images Using a Single Camera
Therefore, enhancing image resolution can be an effective solution for securing the accuracy as well as the resolution of 3D reconstruction.
Dense 3D Reconstruction from Severely Blurred Images Using a Single Moving Camera
Motion blur frequently occurs in dense 3D reconstruction using a single moving camera, and it degrades the quality of the 3D reconstruction.
