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What If We Recaption Billions of Web Images with LLaMA-3?

Revisiting Adversarial Training at Scale

Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation

An Inverse Scaling Law for CLIP Training

Masked Autoencoders Enable Efficient Knowledge Distillers

Can CNNs Be More Robust Than Transformers?

Siamfc++: Towards robust and accurate visual tracking with target estimation guidelines