35 citations · 35 across the 1 of their papers we have counts for
4 papers
Improving Semantic Segmentation via Self-Training
Yi Zhu, Zhongyue Zhang, Chongruo Wu +6
Deep learning usually achieves the best results with complete supervision. In the case of semantic segmentation, this means that large amounts of pixelwise annotations are required…
SCATTER: Selective Context Attentional Scene Text Recognizer
Ron Litman, Oron Anschel, Shahar Tsiper +3
Scene Text Recognition (STR), the task of recognizing text against complex image backgrounds, is an active area of research. Current state-of-the-art (SOTA) methods still struggle…
Human Perceptual Evaluations for Image Compression
Yash Patel, Srikar Appalaraju, R. Manmatha
Recently, there has been much interest in deep learning techniques to do image compression and there have been claims that several of these produce better results than engineered c…
Deep Perceptual Compression
Yash Patel, Srikar Appalaraju, R. Manmatha
Several deep learned lossy compression techniques have been proposed in the recent literature. Most of these are optimized by using either MS-SSIM (multi-scale structural similarit…