ViT-L/16

Researchers achieved first place in the ICRA 2026 GOOSE 2D Fine-Grained Semantic Segmentation Challenge by combining a DINOv3 ViT-L/16 backbone with a Mask2Former decoder and inference-time aggregatio…

Researchers have developed a Marchenko-Pastur (MP) random-matrix approach for pruning deep neural networks that requires minimal post-pruning fine-tuning. The method provides deterministic data-path c…