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Object Counting 벤치마크

Object Counting on FSC147

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MAE(test) 낮을수록 좋음

5.74 9.825 13.91 17.99 22.08 2021-04 2026-11 FamNet — 22.08 (2021-04-16) LaoNet — 15.78 (2021-12-11) SAFECount — 14.32 (2022-01-22) BMNet+ — 14.62 (2022-03-16) RCC — 17.12 (2022-05-20) Counting-DETR — 16.79 (2022-07-22) CounTR — 11.95 (2022-08-29) LOCA — 10.79 (2022-11-15) SPDCN — 13.51 (2022-12-21) CACViT — 9.13 (2023-05-08) CounTX (uses text descriptions instead of visual exemplars) — 15.88 (2023-06-02) SemAug-CounTR — 11.32 (2023-10-26) SemAug-SAFECount — 12.74 (2023-10-26) Omnicount (Open vocabulary, multi-label, without training) — 18.63 (2024-03-08) DAVE — 8.66 (2024-04-25) SSD — 9.58 (2024-05-20) CountGD — 5.74 (2024-07-05) GCA-SUN — 14.0 (2024-09-18) GeCo — 7.91 (2024-09-27) Real-Time — 13.3 (2026-06-16) FamNet — 22.08 (2021-04-16) LaoNet — 15.78 (2021-12-11) SAFECount — 14.32 (2022-01-22) CounTR — 11.95 (2022-08-29) LOCA — 10.79 (2022-11-15) CACViT — 9.13 (2023-05-08) DAVE — 8.66 (2024-04-25) CountGD — 5.74 (2024-07-05)
RankModel MAE(test)MAE(val)RMSE(test)RMSE(val) Extra Training Data PaperCodeYear
1 CountGD 5.747.124.0926.08 CountGD: Multi-Modal Open-World Counting niki-amini-naieni/CountGD · niki-amini-naieni/countx 2024
2 GeCo 7.919.5254.2843.00 A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation jerpelhan/GeCo 2024
3 DAVE 8.668.9132.3628.08 DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting jerpelhan/dave 2024
4 CACViT 9.1310.6348.9637.95 Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting Xu3XiWang/CACViT 2023
5 SSD 9.589.7364.1329.72 Learning Spatial Similarity Distribution for Few-shot Object Counting CBalance/SSD 2024
6 LOCA 10.7910.2456.9732.56 A Low-Shot Object Counting Network With Iterative Prototype Adaptation djukicn/loca 2022
7 SemAug-CounTR 11.3212.3177.5041.65 ✓ Semantic Generative Augmentations for Few-Shot Counting perladoubinsky/SemAug 2023
8 CounTR 11.9513.1391.2349.83 CounTR: Transformer-based Generalised Visual Counting Verg-Avesta/CounTR 2022
9 SemAug-SAFECount 12.7412.5989.9044.95 ✓ Semantic Generative Augmentations for Few-Shot Counting perladoubinsky/SemAug 2023
10 Real-Time 자동 추출 13.30––– RT-Counter: Real-Time Text-Guided Open-Vocabulary Object Counting 2026
11 SPDCN 13.5114.5996.8049.97 Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting Elin24/SPDCN-CAC 2022
12 GCA-SUN 14.0016.0692.1953.04 GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting 2024
13 SAFECount 14.3215.2885.5447.20 Few-shot Object Counting with Similarity-Aware Feature Enhancement zhiyuanyou/SAFECount 2022
14 BMNet+ 14.6215.7491.8358.53 Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting flyinglynx/Bilinear-Matching-Network 2022
15 LaoNet 15.7817.1197.1556.81 Object Counting: You Only Need to Look at One 2021
16 CounTX (uses text descriptions instead of visual exemplars) 15.8817.10106.2965.61 Open-world Text-specified Object Counting niki-amini-naieni/countx 2023
17 Counting-DETR 16.79–123.56– Few-shot Object Counting and Detection vinairesearch/counting-detr 2022
18 RCC 17.1217.49104.5358.81 Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision SinicaGroup/Class-agnostic-Few-shot-Object-Counting · activevisionlab/learningtocountanything 2022
19 Omnicount (Open vocabulary, multi-label, without training) 18.63–112– OmniCount: Multi-label Object Counting with Semantic-Geometric Priors 2024
20 FamNet 22.0823.7599.5469.07 Learning To Count Everything cvlab-stonybrook/LearningToCountEverything 2021
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