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SOTA
物体计数
Object Counting On Fsc147
Object Counting On Fsc147
评估指标
MAE(test)
MAE(val)
RMSE(test)
RMSE(val)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
MAE(test)
MAE(val)
RMSE(test)
RMSE(val)
Paper Title
Repository
FamNet
22.08
23.75
99.54
69.07
Learning To Count Everything
Omnicount (Open vocabulary, multi-label, without training)
18.63
-
112
-
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
-
RCC
17.12
17.49
104.53
58.81
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Counting-DETR
16.79
-
123.56
-
Few-shot Object Counting and Detection
CounTX (uses text descriptions instead of visual exemplars)
15.88
17.10
106.29
65.61
Open-world Text-specified Object Counting
LaoNet
15.78
17.11
97.15
56.81
Object Counting: You Only Need to Look at One
-
BMNet+
14.62
15.74
91.83
58.53
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting
SAFECount
14.32
15.28
85.54
47.20
Few-shot Object Counting with Similarity-Aware Feature Enhancement
GCA-SUN
14.00
16.06
92.19
53.04
GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting
-
SPDCN
13.51
14.59
96.80
49.97
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting
-
SemAug-SAFECount
12.74
12.59
89.90
44.95
Semantic Generative Augmentations for Few-Shot Counting
CounTR
11.95
13.13
91.23
49.83
CounTR: Transformer-based Generalised Visual Counting
SemAug-CounTR
11.32
12.31
77.50
41.65
Semantic Generative Augmentations for Few-Shot Counting
LOCA
10.79
10.24
56.97
32.56
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
SSD
9.58
9.73
64.13
29.72
Learning Spatial Similarity Distribution for Few-shot Object Counting
CACViT
9.13
10.63
48.96
37.95
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
DAVE
8.66
8.91
32.36
28.08
DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting
GeCo
7.91
9.52
54.28
43.00
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
CountGD
5.74
7.1
24.09
26.08
CountGD: Multi-Modal Open-World Counting
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