Image Classification on ImageNet (val) (Baseline vs Pruned Accuracy & FLOPs Reduction) benchmark leaderboard · SOTA2 Research

Image Classification on ImageNet (val) (Baseline vs Pruned Accuracy & FLOPs Reduction)

81.4Top-1 Accuracy (Baseline)Swin-T

Evaluation Results

Method	Links
Swin-T2024.07		81.4	—	—	4.49	—
X-Pruner2024.07		81.4	80.7	-0.7	3.2	—
STEP2024.07		81.4	77.2	-4.2	3.5	—
PASS2024.07		81.4	80.9	-0.5	3.4	—
ViT-B/162024.07		81.07	—	—	17.6	—
DepGraph2024.07		81.07	79.17	-1.9	10.4	—
PASS2024.07		81.07	79.77	-1.3	10.7	—
VIT-B/162023.01		81.07	—	—	—	17.6
DepGraph+EMA2023.01		81.07	79.58	-1.39	—	10.4
DepGraph2023.01		81.07	79.17	-1.9	—	10.4
GFP2024.07		77.97	77.53	-0.44	2.11	—
GFP2023.01		77.97	77.53	-0.44	—	2.11
CP-ViT2023.01		77.91	77.36	-0.55	—	11.7
ResNeXt-502024.07		77.62	—	—	4.27	—
DepGraph2024.07		77.62	76.48	-1.14	2.09	—
PASS2024.07		77.62	77.21	-0.41	2.01	—
ResNeXt-502023.01		77.62	—	—	—	4.27
DepGraph2023.01		77.62	76.48	-1.14	—	2.09
SSS2024.07		77.57	74.98	-2.59	2.43	—
SSS2023.01		77.57	74.98	-2.59	—	2.43
TAS2023.01		77.46	76.2	-1.26	—	2.31
GFP2023.01		76.79	76.42	-0.37	—	2.04
Taylor2023.01		76.18	74.5	-1.68	—	2.25
ResNet-502023.01		76.15	—	—	—	4.13
SFP2023.01		76.15	74.61	-1.54	—	2.4
FPGM2023.01		76.15	75.5	-0.65	—	2.38
CCP2023.01		76.15	75.5	-0.65	—	2.11
DepGraph2023.01		76.15	75.83	-0.32	—	1.99
GReg-22023.01		76.13	75.36	-0.77	—	2.77
SSS2023.01		76.12	74.18	-1.94	—	2.82
AutoSlim2023.01		76.1	75.6	-0.5	—	2
Slimable2023.01		76.1	74.9	-1.2	—	2.3
GFP2023.01		75.74	69.16	-6.58	—	0.15
AOFP-C12023.01		75.34	75.63	0.29	—	2.58
Meta2023.01		74.7	68.2	-6.5	—	0.14
DenseNet-1212023.01		74.44	—	—	—	2.86
DepGraph-1.38G2023.01		74.44	73.98	-0.46	—	1.37
DepGraph-0.58G2023.01		74.44	70.13	-4.31	—	0.57
PSP-1.38G2023.01		74.35	74.05	-0.3	—	1.38
PSP-0.58G2023.01		74.35	70.34	-4.01	—	0.58
SFP2021.10		73.92	71.83	2.09	41.1	—
FPGM2021.10		73.92	72.54	1.38	41.1	—
LCCL2021.10		73.42	72.99	0.43	24.8	—
Taylor2021.10		73.31	72.83	0.48	22.25	—
FTWT2021.10		73.3	73.25	0.05	25.86	—
FTWT2021.10		73.3	72.79	0.51	37.77	—
FTWT2021.10		73.3	72.17	1.13	47.42	—
ResNet182021.10		73.3	69.76	3.54	50.04	—
FTWT2021.10		73.3	71.71	1.59	52.24	—
ThiNet2023.01		72.88	72.04	-0.84	—	2.44
Mob-v22023.01		71.87	—	—	—	0.33
DepGraph2023.01		71.87	68.46	-3.41	—	0.15
FBS2021.10		70.7	68.2	2.5	49.49	—
SFP2021.10		70.28	67.1	3.18	41.8	—
LCCL2021.10		69.98	66.33	3.65	34.6	—
FTWT2021.10		69.76	67.49	2.27	51.56	—
MobileNetV1-752021.10		69.76	67	2.76	42.85	—
PFP-B2021.10		69.74	65.65	4.09	43.12	—
FTWT2021.10		69.57	69.66	-0.09	41.07	—
NetAdapt2023.01		—	70	—	—	0.24