方舟
发表于 2025-3-23 13:45:05
Label-Similarity Curriculum Learning,ch for image classification that adapts the loss function by changing the label representation..The idea is to use a probability distribution over classes as target label, where the class probabilities reflect the similarity to the true class. Gradually, this label representation is shifted towards
geometrician
发表于 2025-3-23 14:21:20
http://reply.papertrans.cn/24/2343/234217/234217_12.png
Instantaneous
发表于 2025-3-23 20:02:45
http://reply.papertrans.cn/24/2343/234217/234217_13.png
拍翅
发表于 2025-3-24 01:50:50
http://reply.papertrans.cn/24/2343/234217/234217_14.png
预兆好
发表于 2025-3-24 04:39:03
http://reply.papertrans.cn/24/2343/234217/234217_15.png
刚毅
发表于 2025-3-24 06:42:33
Differentiable Joint Pruning and Quantization for Hardware Efficiency,roblem, trading off between model pruning and quantization automatically for hardware efficiency. DJPQ incorporates variational information bottleneck based structured pruning and mixed-bit precision quantization into a single differentiable loss function. In contrast to previous works which conside
relieve
发表于 2025-3-24 12:14:44
http://reply.papertrans.cn/24/2343/234217/234217_17.png
CANE
发表于 2025-3-24 16:19:40
LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Usindate the inherent differences in appearance between real images and DEMs, we train a cross-domain feature descriptor using Structure From Motion (SFM) guided reconstructions to acquire training data. Our method runs efficiently on a mobile device and outperforms existing learned and hand-designed fe
Systemic
发表于 2025-3-24 20:18:57
http://reply.papertrans.cn/24/2343/234217/234217_19.png
Virtues
发表于 2025-3-25 00:58:28
http://reply.papertrans.cn/24/2343/234217/234217_20.png