Efficient Adaption for CD-FSS through Knowledge Distillation
Pasquale De Marinis
pasqualedem
AI & ML interests
Computer Vision, Semantic Segmentation, Knowledge Distillation, Drones
Recent Activity
authored
a paper
about 13 hours ago
DistillFSS: Synthesizing Few-Shot Knowledge into a Lightweight Segmentation Model
updated
a collection
2 days ago
DistillFSS
updated
a model
2 days ago
pasqualedem/DistillFSS_WeedMap_DCAMA_5shot
Organizations
None yet
Label Anything performs multi-class few-shot semantic segmentation using visual prompts (bboxes, points, masks)
-
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Paper • 2407.02075 • Published -
pasqualedem/label_anything_sam_1024_coco
Updated • 81 -
pasqualedem/label_anything_256_sam_1024_coco
Updated • 14 -
pasqualedem/label_anything_coco_fold0_mae_7a5p0t63
Image Segmentation • Updated • 24
Efficient Adaption for CD-FSS through Knowledge Distillation
Label Anything performs multi-class few-shot semantic segmentation using visual prompts (bboxes, points, masks)
-
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Paper • 2407.02075 • Published -
pasqualedem/label_anything_sam_1024_coco
Updated • 81 -
pasqualedem/label_anything_256_sam_1024_coco
Updated • 14 -
pasqualedem/label_anything_coco_fold0_mae_7a5p0t63
Image Segmentation • Updated • 24