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DataFunTalk
DataFunTalk
Jun 30, 2022 · Artificial Intelligence

Self‑Augmented Unpaired Image Dehazing via Density and Depth Decomposition (D4)

The paper introduces D4, a self‑augmented unpaired image dehazing framework that decomposes the transmission map into fog density and scene depth, enabling realistic fog synthesis for data augmentation and achieving superior dehazing performance with fewer parameters and FLOPs on multiple benchmarks.

CVPR2022Depth Estimationcomputer vision
0 likes · 14 min read
Self‑Augmented Unpaired Image Dehazing via Density and Depth Decomposition (D4)
AntTech
AntTech
Jun 24, 2022 · Artificial Intelligence

Hierarchical Residual Network for Multi‑Granularity Classification (HRN) – CVPR 2022 Paper Overview

This article presents a CVPR 2022 paper by Zhejiang University and Ant Group that introduces a label‑relation‑tree‑based Hierarchical Residual Network (HRN) for improving multi‑granularity image classification, detailing its motivation, architecture, composite loss design, extensive experiments on fine‑grained datasets, and practical impact on content‑security applications.

CVPR2022Deep Learningcomputer vision
0 likes · 12 min read
Hierarchical Residual Network for Multi‑Granularity Classification (HRN) – CVPR 2022 Paper Overview