Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -36,6 +36,7 @@ MaskDistill learns visual representations by distilling knowledge from a frozen
|
|
| 36 |
|
| 37 |
| Evaluation | Result |
|
| 38 |
|-----------|--------|
|
|
|
|
| 39 |
| k-NN (k=10) | **75.6%** top-1 |
|
| 40 |
| Linear Probe | **76.3%** top-1 |
|
| 41 |
| Sem. Seg. (ADE20K, UPerNet) | **52.6** mIoU |
|
|
@@ -47,6 +48,7 @@ MaskDistill learns visual representations by distilling knowledge from a frozen
|
|
| 47 |
| File | Description |
|
| 48 |
|------|------------|
|
| 49 |
| `pretrain_vit_base_ep290.pth` | Pretrained ViT-Base (300 epochs) |
|
|
|
|
| 50 |
| `linprobe_vit_base_ep90.pth.tar` | Linear probe (90 epochs, 76.3% top-1) |
|
| 51 |
| `semseg_upernet_ade20k_160k.pth` | UPerNet on ADE20K (52.6 mIoU) |
|
| 52 |
| `detection_maskrcnn_coco_12ep.pth` | Mask R-CNN on COCO (44.4 mAP) |
|
|
|
|
| 36 |
|
| 37 |
| Evaluation | Result |
|
| 38 |
|-----------|--------|
|
| 39 |
+
| Finetuning (ImageNet-1K) | **84.8%** top-1 |
|
| 40 |
| k-NN (k=10) | **75.6%** top-1 |
|
| 41 |
| Linear Probe | **76.3%** top-1 |
|
| 42 |
| Sem. Seg. (ADE20K, UPerNet) | **52.6** mIoU |
|
|
|
|
| 48 |
| File | Description |
|
| 49 |
|------|------------|
|
| 50 |
| `pretrain_vit_base_ep290.pth` | Pretrained ViT-Base (300 epochs) |
|
| 51 |
+
| `finetune_vit_base_ep100.pth` | Finetuned on ImageNet-1K (84.8% top-1) |
|
| 52 |
| `linprobe_vit_base_ep90.pth.tar` | Linear probe (90 epochs, 76.3% top-1) |
|
| 53 |
| `semseg_upernet_ade20k_160k.pth` | UPerNet on ADE20K (52.6 mIoU) |
|
| 54 |
| `detection_maskrcnn_coco_12ep.pth` | Mask R-CNN on COCO (44.4 mAP) |
|