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Long Tail Learning On Places Lt

Metrics

Top-1 Accuracy

Results

Performance results of various models on this benchmark

Paper TitleRepository
LIFT (ViT-L/14)53.7Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
LIFT (ViT-B/16)52.2Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts
MAM (ViT-B/16)51.4Improving Image Recognition by Retrieving from Web-Scale Image-Text Data-
VL-LTR (ViT-B-16)50.1VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
BALLAD(ViT-B-16)49.5A Simple Long-Tailed Recognition Baseline via Vision-Language Model
BALLAD(ResNet-50×16)49.3A Simple Long-Tailed Recognition Baseline via Vision-Language Model
VL-LTR (ResNet-50)48.0VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
BALLAD(ResNet-101)47.9A Simple Long-Tailed Recognition Baseline via Vision-Language Model
RAC (ViT-B-16)47.17Retrieval Augmented Classification for Long-Tail Visual Recognition-
BALLAD(ResNet-50)46.5A Simple Long-Tailed Recognition Baseline via Vision-Language Model
APA (SE-ResNet-50)42.0Adaptive Parametric Activation
GPaCo (ResNet-152)41.7Generalized Parametric Contrastive Learning
Difficulty-Net (ResNet-152)41.7Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
NCL(ResNet-152)41.5Nested Collaborative Learning for Long-Tailed Visual Recognition
TADE41.3Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
PaCo41.2Parametric Contrastive Learning
OPeN (ResNet-152)40.5Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
IEM39.7Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition-
DisAlign39.3Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
LDAM-DRS-RSG39.3RSG: A Simple but Effective Module for Learning Imbalanced Datasets
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Long Tail Learning On Places Lt | SOTA | HyperAI