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Image Retrieval on In-Shop (test)

91.3Recall@1XBM
51.46861.80972.1582.491Apr 14, 2019Apr 10, 2020Apr 7, 2021Apr 5, 2022Apr 2, 2023Mar 29, 2024Mar 27, 2025

Evaluation results

MethodLinks
XBMBackbone=ResNet50, Embedding size=1282019.1291.397.898.498.79999.1——
FastAPBackbone=ResNet50, Embedding size=5122019.1290.997.798.598.898.999.1——
FastAPEmbedding Dimension=512, Backbone=ResNet502020.0790.997.798.5—————
SCTEmbedding Dimension=512, Backbone=ResNet502020.0790.997.598.1—————
SHNEmbedding Dimension=512, Backbone=ResNet502020.0790.697.498.1—————
XBMBackbone=InceptionBN, Embedding size=5122019.1289.997.698.498.698.898.9——
MSEmbedding Size=5122019.0489.797.998.598.899.199.2——
MSBackbone=InceptionBN, Embedding size=5122019.1289.797.998.598.899.199.2——
MSEmbedding Dimension=512, Backbone=ResNet502020.0789.797.998.5—————
XBMBackbone=GoogleNet, Embedding size=5122019.1289.497.598.398.698.798.9——
LOCORE-smallRe-ranking images count=1002025.0389.497.797.7————78.8
LOCORE-tinyRe-ranking images count=1002025.0389.197.998.2————78.4
aQERe-ranking images count=1002025.0388.597.198.1————76.8
Global descriptors2025.0388.397.798.4————74.8
RRTRe-ranking images count=1002025.0388.397.998.6————77.6
MICBackbone=ResNet50, Embedding size=1282019.1288.297—98—98.8——
MSEmbedding Size=1282019.048897.298.198.598.798.8——
LOCORE-baseRe-ranking images count=1002025.0387.997.998.7————77
EasyPositiveEmbedding Dimension=512, Backbone=ResNet502020.0787.895.796.8—————
ABEEmbedding Size=5122019.0487.396.797.998.298.598.7——
ABEBackbone=GoogleNet, Embedding size=5122019.1287.396.797.998.298.598.7——
ABEEmbedding Dimension=512, Backbone=ResNet502020.0787.396.797.9—————
DQERe-ranking images count=1002025.0386.497.198.1————72.4
SSR RerankRe-ranking images count=1002025.0386.397.198.2————75.8
DivideBackbone=ResNet50, Embedding size=1282019.1285.795.596.997.5—98——
ABIEREmbedding Size=5122019.0483.195.196.997.597.898——
A-BIERBackbone=GoogleNet, Embedding size=5122019.1283.195.196.997.597.898——
AQERe-ranking images count=1002025.0381.795.996.7————73.2
HTLEmbedding Size=1282019.0480.994.395.897.297.497.8——
HTLBackbone=InceptionBN, Embedding size=5122019.1280.994.395.897.297.497.8——
BIEREmbedding Dimension=512, Backbone=ResNet502020.0776.992.895.2—————
UDONPre-training=CLIP2024.0671.8—————89.7—
UDONPre-training=ImageNet21k2024.0669.8—————88.3—
USC w/ Dyn SamplerPre-training=ImageNet21k2024.0665.9—————86.1—
MLP baseline w/ Dyn SamplerPre-training=ImageNet21k2024.0664.1—————85—
HDCEmbedding Size=3842019.0462.184.98991.292.393.1——
HDCBackbone=GoogleNet, Embedding size=3842019.1262.184.98991.292.393.1——
FashionNetEmbedding Size=40962019.04537376777980——