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20032026
most citedA Closer Look at Memorization in Deep Networks

353 citations

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10 papers · 1 filter

cs.CV20251 cited

Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction

Li Wang, Yiyu Zhuang, Yanwen Wang +4

3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challen…

cs.CV202410 cited

License Plate Detection and Character Recognition Using Deep Learning and Font Evaluation

Zahra Ebrahimi Vargoorani, Ching Yee Suen

License plate detection (LPD) is essential for traffic management, vehicle tracking, and law enforcement but faces challenges like variable lighting and diverse font types, impacti…

cs.CV20241 cited

PatchSVD: A Non-uniform SVD-based Image Compression Algorithm

Zahra Golpayegani, Nizar Bouguila

Storing data is particularly a challenge when dealing with image data which often involves large file sizes due to the high resolution and complexity of images. Efficient image com…

cs.CV20242 cited

Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness

Zahra Golpayegani, Patrick St-Amant, Nizar Bouguila

Deep learning models can perform well when evaluated on images from the same distribution as the training set. However, applying small perturbations in the forms of noise, artifact…

cs.CV20236 cited

Automatic counting of planting microsites via local visual detection and global count estimation

Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

In forest industry, mechanical site preparation by mounding is widely used prior to planting operations. One of the main problems when planning planting operations is the difficult…

cs.CV202239 cited

Knowledge Distillation approach towards Melanoma Detection

Md. Shakib Khan, Kazi Nabiul Alam, Abdur Rab Dhruba +2

Melanoma is regarded as the most threatening among all skin cancers. There is a pressing need to build systems which can aid in the early detection of melanoma and enable timely tr…