paper-with-me

Image Classification 벤치마크

Image Classification on WebVision-1000

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Top-1 Accuracy

70.8 74 77.2 80.4 83.6 2017-12 2026-09 MentorNet (InceptionResNet-V2) — 70.8 (2017-12-14) CurriculumNet (InceptionResNet-v2) — 79.3 (2018-08-03) CurriculumNet (Inception-v2) — 72.1 (2018-08-03) SOMNet (ResNet-50) — 72.2 (2019-06-28) MentorMix (InceptionResNet-V2) — 74.3 (2019-11-21) HAR (InceptionResNet-v2) — 75.0 (2020-06-29) SCC (ResNet50-D) — 75.78 (2020-08-27) MoPro (ResNet-50) — 73.9 (2020-09-17) VSGraph-LC (ResNet50) — 75.48 (2020-10-12) Heteroscedastic (InceptionResNet-v2) — 76.6 (2021-05-19) MILe (ResNet-50-D) — 76.5 (2021-11-23) MILe (ResNet-50) — 75.2 (2021-11-23) NCR+Mixup+DA (ResNet-50) — 76.8 (2022-02-04) NCR (ResNet-50) — 75.7 (2022-02-04) ERM + CMW-Net-SL (InceptionResNet-V2) — 77.9 (2022-02-11) MAM (ViT-B/16) — 83.6 (2023-04-11) MentorNet (InceptionResNet-V2) — 70.8 (2017-12-14) CurriculumNet (InceptionResNet-v2) — 79.3 (2018-08-03) MAM (ViT-B/16) — 83.6 (2023-04-11)
RankModel Top-1 AccuracyTop-5 AccuracyImageNet Top-1 AccuracyImageNet Top-5 Accuracy Extra Training Data PaperCodeYear
1 MAM (ViT-B/16) 83.6 Improving Image Recognition by Retrieving from Web-Scale Image-Text Data 2023
2 CurriculumNet (InceptionResNet-v2) 79.3%93.6% CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images MalongTech/CurriculumNet · guoshengcv/CurriculumNet 2018
3 ERM + CMW-Net-SL (InceptionResNet-V2) 77.9%92.6% CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning xjtushujun/cmw-net 2022
4 NCR+Mixup+DA (ResNet-50) 76.8 Learning with Neighbor Consistency for Noisy Labels google-research/scenic 2022
5 Heteroscedastic (InceptionResNet-v2) 76.6%92.1% Correlated Input-Dependent Label Noise in Large-Scale Image Classification 2021
6 MILe (ResNet-50-D) 76.5%90.9%68.786.4 Multi-label Iterated Learning for Image Classification with Label Ambiguity 2021
7 SCC (ResNet50-D) 75.78%91.07%70.66%88.46% Webly Supervised Image Classification with Self-Contained Confidence bigvideoresearch/SCC · bigvideoresearch/Enigma · yuleiqin/fopro · +1 2020
8 NCR (ResNet-50) 75.7% Learning with Neighbor Consistency for Noisy Labels google-research/scenic 2022
9 VSGraph-LC (ResNet50) 75.48%90.15%69.42%87.29% Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph bigvideoresearch/Enigma 2020
10 MILe (ResNet-50) 75.2%90.3%67.185.6 Multi-label Iterated Learning for Image Classification with Label Ambiguity 2021
11 HAR (InceptionResNet-v2) 75.0%90.6%67.1%86.7% Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization kaidic/HAR 2020
12 MentorMix (InceptionResNet-V2) 74.3%90.5%67.5%87.2% Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels google-research/google-research · ljy-hy/mentormix_pytorch · MindCode-4/code-7 2019
13 MoPro (ResNet-50) 73.9%90.0%67.8%87.0% MoPro: Webly Supervised Learning with Momentum Prototypes salesforce/MoPro · yuleiqin/capro 2020
14 SOMNet (ResNet-50) 72.2%89.5%65.0%85.1% Learning from Web Data with Self-Organizing Memory Module 2019
15 CurriculumNet (Inception-v2) 72.1%89.2%64.8%84.9% CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images MalongTech/CurriculumNet · guoshengcv/CurriculumNet 2018
16 MentorNet (InceptionResNet-V2) 70.8%88.0%62.5%83.0% MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels google/mentornet 2017
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