Home News Latest Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Long Tail Learning On Voc Mlt

Metrics

Average mAP

Results

Performance results of various models on this benchmark

Model Name	Average mAP	Paper Title	Repository
OLTR(ResNet-50)	71.02	Large-Scale Long-Tailed Recognition in an Open World	-
DB Focal(ResNet-50)	78.94	Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets	-
Focal Loss(ResNet-50)	73.88	Focal Loss for Dense Object Detection	-
PG Loss(ResNet-50)	80.37	Probability Guided Loss for Long-Tailed Multi-Label Image Classification	-
RS(ResNet-50)	75.38	Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks	-
LTML(ResNet-50)	81.44	Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings	-
CLIP(ViT-B/16)	85.77	Learning Transferable Visual Models From Natural Language Supervision	-
LMPT(ResNet-50)	85.44	LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition	-
LMPT(ViT-B/16)	87.88	LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition	-
CB Focal(ResNet-50)	75.24	Class-Balanced Loss Based on Effective Number of Samples	-
LDAM(ResNet-50)	70.73	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss	-
ML-GCN(ResNet-50)	68.92	Multi-Label Image Recognition with Graph Convolutional Networks	-
CLIP(ResNet-50)	84.30	Learning Transferable Visual Models From Natural Language Supervision	-

0 of 13 row(s) selected.