atlas

Research map / Label-efficient and robust learning / Self-supervised and contrastive

Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity

CVPR 2022 · Label-efficient and robust learning › Self-supervised and contrastive · approach: Empirical contrastive visual learning · 85 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use NLCL instead of CUTUnsupervised deraining on RainCityscapes · RainCityscapesPSNR: 25.21 -> 26.46Helped
Use NLCL instead of UDGNetUnsupervised deraining on RainCityscapes · RainCityscapesSSIM: 0.8749 -> 0.8666Hurt
Use NLCL instead of CycleGANUnsupervised deraining on RainCityscapes · RainCityscapesNIQE: 3.68 -> 3.67Helped
Use NLCL instead of DSCUnsupervised deraining on SPA · SPAPSNR: 33.71 -> 33.82Helped
Use NLCL instead of CycleGANUnsupervised deraining on SPA · SPANIQE: 6.67 -> 9.55Hurt
Use non-local sampling for both positives and negatives rather than random sampling (ablation)Layer contrastive in NLCL · RainCityscapesPSNR: 25.83 -> 26.46Helped
Use non-local sampling for positives rather than neighbour sampling, with random negatives (ablation)Layer contrastive in NLCL · RainCityscapesPSNR: 26.03 -> 26.18Helped
Use non-local sampling for negatives rather than random sampling, with random positives (ablation)Layer contrastive in NLCL · RainCityscapesPSNR: 25.83 -> 26.16Helped
Use the discriminator rather than the image generator as layer-contrastive encoder (ablation)Layer contrastive in NLCL · RainCityscapesPSNR: 24.86 -> 26.46Helped
Use the discriminator rather than separate image and rain generator encoders (ablation)Layer contrastive in NLCL · RainCityscapesPSNR: 24.12 -> 26.46Helped
Use 8 positives and 256 negatives instead of the tested alternative sample counts (ablation)Non-local layer sampling in NLCL · RainCityscapesPSNR: 23.21; 26.11; 26.19; 26.30; 24.55; 26.30; 26.46; 26.42; 24.54; 25.96; 26.02; 26.11; 23.49; 25.02; 25.40; 25.37Mixed
Use reverse non-local instead of random location-negative sampling (ablation)Location contrast in NLCL · RainCityscapesPSNR: 26.33 -> 26.46Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy