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This model card presents information about pre-trained audio representation models released by ALM. These models are pre-trained on the full AudioSet dataset and are intended for general-purpose Audio Representation...
timm (image encoder only) weights
This model is a fine-tuned version of facebook/mask2former-swin-large-ade-semantic on the AllanK24/apple-dms-materials-v2 dataset. It achieves the following results on the evaluation set: Mean Iou: 0.4855 Mean...
Works best at 0.75 weight.
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
Official model weights for the paper: "Bidirectional Cross-Attention Fusion of High-Res RGB and Low-Res HSI for Multimodal Automated Waste Sorting" Jonas V. Funk, Lukas Roming, Andreas Michel, Paul Bäcker, Georg...
theresa for illustrious
DAMO-YOLO-Ns (TinyNASmob backbone with depthwise + GiraffeNeckV2 with depthwise + ZeroHead with GFL/DFL, regmax=7, lastkernelsize=1). 1.4M params, 416x416 input, repackaged for LibreYOLO.
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set: Loss: 0.2477 Accuracy: 0.9053
