ImageNet-LT
PulseAugur coverage of ImageNet-LT — every cluster mentioning ImageNet-LT across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New sampling method boosts long-tailed learning accuracy
Researchers have developed a new method called Sharpness-Guided Equilibrium Sampling (SGS) to improve the performance of models trained on long-tailed datasets. SGS dynamically adjusts the sampling probability of data p…
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New BS-cRT Method Boosts Long-Tailed Recognition Accuracy
Researchers have developed a new baseline method called BS-cRT for long-tailed recognition tasks, which aims to improve accuracy by retraining only the classifier after initial training. This two-stage procedure involve…
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New research advances diffusion models for image editing, data augmentation, and unlearning
Researchers are exploring advanced techniques for diffusion models, focusing on improving image editing, data augmentation, and unlearning capabilities. New methods aim to enhance stability and fidelity in image editing…
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New CCUA method boosts AI image generation for rare classes
Researchers have developed a new method called Contrastive Conditional-Unconditional Alignment (CCUA) to improve the quality and diversity of images generated by diffusion models, particularly for classes with limited t…