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Found 10 papers, 6 papers with code
TransView: Inside, Outside, and Across the Cropping View Boundaries
We show that relation modeling between visual elements matters in cropping view recommendation.
On Exploring and Improving Robustness of Scene Text Detection Models
It is crucial to understand the robustness of text detection models with regard to extensive corruptions, since scene text detection techniques have many practical applications.
FAHP-based Mathematical Model for Exercise Rehabilitation Management of Diabetes Mellitus
Exercise rehabilitation is an important part in the comprehensive management of patients with diabetes and there is a need to conduct comprehensively evaluation of several factors such as the physical fitness, cardiovascular risk and diabetic disease factors.
Interior Attention-Aware Network for Infrared Small Target Detection
Motivated by the fact that pixels from targets or backgrounds are correlated to each other, we propose a coarse-to-fine interior attention-aware network (IAANet) for infrared small target detection.
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Existing methods with simple Euclidean distance algorithm indiscriminately optimize the hard and easy examples so that the densities of hard examples are usually incorrectly predicted to be lower or even zero, which results in large counting errors.
Robust Object Detection With Inaccurate Bounding Boxes
As the crowd-sourcing labeling process and the ambiguities of the objects may raise noisy bounding box annotations, the object detectors will suffer from the degenerated training data.
SAD: Segment Any RGBD
The Segment Anything Model (SAM) has demonstrated its effectiveness in segmenting any part of 2D RGB images.
Open Vocabulary Semantic Segmentation
Panoptic Segmentation
+1
Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
To improve the quality of pseudo labels, we propose a novel motion selection and re-generation module.
S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
To address this limitation, we present S-DyRF, a reference-based spatio-temporal stylization method for dynamic neural radiance fields.
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
To this end, we explore the feasibility of self-supervised motion prediction with only unlabeled LiDAR point clouds.
